Yang Liu

According to our database, Yang Liu authored at least 114 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning.

Tianyuan Zou, Yang Liu, Yan Kang, Wenhan Liu, Yuanqin He, Zhihao Yi, Qiang Yang, Ya-Qin Zhang

IEEE Trans. Big Data, December, 2024

Privacy-Preserving Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability.

Yan Kang, Yuanqin He, Jiahuan Luo, Tao Fan, Yang Liu, Qiang Yang

IEEE Trans. Big Data, December, 2024

Vertical Federated Learning: Concepts, Advances, and Challenges.

Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang

IEEE Trans. Knowl. Data Eng., July, 2024

AQUILA: Communication Efficient Federated Learning With Adaptive Quantization in Device Selection Strategy.

Zihao Zhao, Yuzhu Mao, Zhenpeng Shi, Yang Liu, Tian Lan, Wenbo Ding, Xiao-Ping Zhang

IEEE Trans. Mob. Comput., June, 2024

SAFARI: Sparsity-Enabled Federated Learning With Limited and Unreliable Communications.

Yuzhu Mao, Zihao Zhao, Meilin Yang, Le Liang, Yang Liu, Wenbo Ding, Tian Lan, Xiao-Ping Zhang

IEEE Trans. Mob. Comput., May, 2024

FedHAP: Federated Hashing With Global Prototypes for Cross-Silo Retrieval.

Meilin Yang, Jian Xu, Wenbo Ding, Yang Liu

IEEE Trans. Parallel Distributed Syst., April, 2024

A Federated Learning Framework Based on Differentially Private Continuous Data Release.

Jianping Cai, Ximeng Liu, Qingqing Ye, Yang Liu, Yuyang Wang

IEEE Trans. Dependable Secur. Comput., 2024

A mechanism design approach for multi-party machine learning.

Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang

Theor. Comput. Sci., 2024

Graph Pre-Training Models Are Strong Anomaly Detectors.

Jiashun Cheng, Zinan Zheng, Yang Liu, Jianheng Tang, Hongwei Wang, Yu Rong, Jia Li, Fugee Tsung

CoRR, 2024

Autonomous Driving in Unstructured Environments: How Far Have We Come?

Chen Min, Shubin Si, Xu Wang, Hanzhang Xue, Weizhong Jiang, Yang Liu, Juan Wang, Qingtian Zhu, Qi Zhu, Lun Luo, Fanjie Kong, Jinyu Miao, Xudong Cai, Shuai An, Wei Li, Jilin Mei, Tong Sun, Heng Zhai, Qifeng Liu, Fangzhou Zhao, Liang Chen, Shuai Wang, Er-Ke Shang, Linzhi Shang, Kunlong Zhao, Fuyang Li, Hao Fu, Lei Jin, Jian Zhao, Fangyuan Mao, Zhipeng Xiao, Chengyang Li, Bin Dai, Dawei Zhao, Liang Xiao, Yiming Nie, Yu Hu, Xuelong Li

CoRR, 2024

Enhancing Parameter Efficiency and Generalization in Large-Scale Models: A Regularized and Masked Low-Rank Adaptation Approach.

Yuzhu Mao, Siqi Ping, Zihao Zhao, Yang Liu, Wenbo Ding

CoRR, 2024

Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning.

Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong

CoRR, 2024

FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering.

Siqi Ping, Yuzhu Mao, Yang Liu, Xiao-Ping Zhang, Wenbo Ding

CoRR, 2024

Weakly Supervised Anomaly Detection via Knowledge-Data Alignment.

Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li

Proceedings of the ACM on Web Conference 2024, 2024

Improved Sparse Activity Detection Based on Optimized Measurement Matrix in mMTC.

Jianyu Wang, Yang Liu, Chaoyuan Bai, Heng Liu

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning.

Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

VFLAIR: A Research Library and Benchmark for Vertical Federated Learning.

Tianyuan Zou, Zixuan Gu, Yu He, Hideaki Takahashi, Yang Liu, Ya-Qin Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data.

Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, Yang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases.

Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Federated PAC-Bayesian Learning on Non-IID Data.

Zihao Zhao, Yang Liu, Wenbo Ding, Xiao-Ping Zhang

Proceedings of the IEEE International Conference on Acoustics, 2024

A Weakly Supervised Part Detection Method for Robust Fine-Grained Classification.

Yang Liu, Le Jiang, Guoming Li, Xiaozhou Ye, Ye Ouyang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

A multimodal approach for improving market price estimation in online advertising.

Tengyun Wang, Haizhi Yang, Yang Liu, Han Yu, Hengjie Song

Knowl. Based Syst., April, 2023

CAreFL: Enhancing smart healthcare with Contribution-Aware Federated Learning.

Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang

AI Mag., March, 2023

Towards efficient communications in federated learning: A contemporary survey.

Zihao Zhao, Yuzhu Mao, Yang Liu, Linqi Song, Ye Ouyang, Xinlei Chen, Wenbo Ding

J. Frankl. Inst., 2023

Federated Learning without Full Labels: A Survey.

Yilun Jin, Yang Liu, Kai Chen, Qiang Tang

IEEE Data Eng. Bull., 2023

Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer.

Yongheng Deng, Ziqing Qiao, Ju Ren, Yang Liu, Yaoxue Zhang

CoRR, 2023

VFLAIR: A Research Library and Benchmark for Vertical Federated Learning.

Tianyuan Zou, Zixuan Gu, Yu He, Hideaki Takahashi, Yang Liu, Guangnan Ye, Ya-Qin Zhang

CoRR, 2023

Federated PAC-Bayesian Learning on Non-IID data.

Zihao Zhao, Yang Liu, Wenbo Ding, Xiao-Ping Zhang

CoRR, 2023

Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation.

Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong

CoRR, 2023

AQUILA: Communication Efficient Federated Learning with Adaptive Quantization of Lazily-Aggregated Gradients.

Zihao Zhao, Yuzhu Mao, Zhenpeng Shi, Yang Liu, Tian Lan, Wenbo Ding, Xiao-Ping Zhang

CoRR, 2023

AIGC Empowering Telecom Sector White Paper_chinese.

Ye Ouyang, Yaqin Zhang, Xiaozhou Ye, Yunxin Liu, Yong Song, Yang Liu, Sen Bian, Zhiyong Liu

CoRR, 2023

Eliminating Label Leakage in Tree-Based Vertical Federated Learning.

Hideaki Takahashi, Jingjing Liu, Yang Liu

CoRR, 2023

6G Network Business Support System.

Ye Ouyang, Yaqin Zhang, Peng Wang, Yunxin Liu, Wen Qiao, Jun Zhu, Yang Liu, Feng Zhang, Shuling Wang, Xidong Wang

CoRR, 2023

6G Network Operation Support System.

Ye Ouyang, Yaqin Zhang, Xiaozhou Ye, Yunxin Liu, Xidong Wang, Jie Sun, Yang Liu, Shoufeng Wang, Sen Bian, Yun Li

CoRR, 2023

PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training.

Sichun Luo, Yuanzhang Xiao, Xinyi Zhang, Yang Liu, Wenbo Ding, Linqi Song

CoRR, 2023

Federated Learning without Full Labels: A Survey.

Yilun Jin, Yang Liu, Kai Chen, Qiang Yang

CoRR, 2023

Deep Insights into Noisy Pseudo Labeling on Graph Data.

Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Hierarchical Knowledge Transfer Framework for Heterogeneous Federated Learning.

Yongheng Deng, Ju Ren, Cheng Tang, Feng Lyu, Yang Liu, Yaoxue Zhang

Proceedings of the IEEE INFOCOM 2023, 2023

Multimodal Federated Learning via Contrastive Representation Ensemble.

Qiying Yu, Yang Liu, Yimu Wang, Ke Xu, Jingjing Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt.

Zihao Zhao, Zhenpeng Shi, Yang Liu, Wenbo Ding

Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack.

Hideaki Takahashi, Jingjing Liu, Yang Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making.

Xuanjie Fang, Sijie Cheng, Yang Liu, Wei Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax.

Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Inspecting the Running Process of Horizontal Federated Learning via Visual Analytics.

Quan Li, Xiguang Wei, Huanbin Lin, Yang Liu, Tianjian Chen, Xiaojuan Ma

IEEE Trans. Vis. Comput. Graph., 2022

FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features.

Yang Liu, Xinwei Zhang, Yan Kang, Liping Li, Tianjian Chen, Mingyi Hong, Qiang Yang

IEEE Trans. Signal Process., 2022

Customized Federated Learning for Multi-Source Decentralized Medical Image Classification.

Jeffry Wicaksana, Zengqiang Yan, Xin Yang, Yang Liu, Lixin Fan, Kwang-Ting Cheng

IEEE J. Biomed. Health Informatics, 2022

Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2.

Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings

ACM Trans. Intell. Syst. Technol., 2022

Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1.

Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings

ACM Trans. Intell. Syst. Technol., 2022

Communication-Efficient Federated Learning with Adaptive Quantization.

Yuzhu Mao, Zihao Zhao, Guangfeng Yan, Yang Liu, Tian Lan, Linqi Song, Wenbo Ding

ACM Trans. Intell. Syst. Technol., 2022

GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning.

Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui

ACM Trans. Intell. Syst. Technol., 2022

FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training.

Yan Kang, Yang Liu, Xinle Liang

ACM Trans. Intell. Syst. Technol., 2022

Semi-Supervised Federated Heterogeneous Transfer Learning.

Siwei Feng, Boyang Li, Han Yu, Yang Liu, Qiang Yang

Knowl. Based Syst., 2022

Vertical Federated Learning.

Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang

CoRR, 2022

Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation.

Sichun Luo, Yuanzhang Xiao, Yang Liu, Congduan Li, Linqi Song

CoRR, 2022

Brisk-Yolo: A Lightweight Object Detection Algorithm for Edge Devices.

Yang Liu, Le Jiang, Guoming Li, Yunxin Liu, Xiaozhou Ye, Ye Ouyang, Aidong Yang

Proceedings of the IEEE Smartworld, 2022

TailorFL: Dual-Personalized Federated Learning under System and Data Heterogeneity.

Yongheng Deng, Weining Chen, Ju Ren, Feng Lyu, Yang Liu, Yunxin Liu, Yaoxue Zhang

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Privacy-Preserving Federated Cross-Domain Social Recommendation.

Jianping Cai, Yang Liu, Ximeng Liu, Jiayin Li, Hongbin Zhuang

Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Federated Capsule Graph Neural Network with Personalization.

Meilin Yang, Jian Xu, Wenbo Ding, Yang Liu

Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

Adversarial Contrastive Learning via Asymmetric InfoNCE.

Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results.

Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Liangyu Chen, Xiaojie Chu, Wenqing Yu, Kai Jin, Zeqiang Wei, Sha Guo, Angulia Yang, Xiuzhuang Zhou, Guodong Guo, Bin Dai, Feiyue Peng, Huaxin Xiao, Shen Yan, Yuxiang Liu, Hanxiao Cai, Pu Cao, Yang Nie, Lu Yang, Qing Song, Xiaotao Hu, Jun Xu, Mai Xu, Junpeng Jing, Xin Deng, Qunliang Xing, Minglang Qiao, Zhenyu Guan, Wenlong Guo, Chenxu Peng, Zan Chen, Junyang Chen, Hao Li, Junbin Chen, Weijie Li, Zhijing Yang, Gen Li, Aijin Li, Lei Sun, Dafeng Zhang, Shizhuo Liu, Jiangtao Zhang, Yanyun Qu, Hao-Hsiang Yang, Zhi-Kai Huang, Wei-Ting Chen, Hua-En Chang, Sy-Yen Kuo, Qiaohui Liang, Jianxin Lin, Yijun Wang, Lianying Yin, Rongju Zhang, Wei Zhao, Peng Xiao, Rongjian Xu, Zhilu Zhang, Wangmeng Zuo, Hansheng Guo, Guangwei Gao, Tieyong Zeng, Huicheng Pi, Shunli Zhang, Joohyeok Kim, HyeonA Kim, Eunpil Park, Jae-Young Sim, Jucai Zhai, Pengcheng Zeng, Yang Liu, Chihao Ma, Yulin Huang, Junying Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Contribution-Aware Federated Learning for Smart Healthcare.

Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data.

Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Wotao Yin, Yang Liu

IEEE Trans. Signal Process., 2021

StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing.

Anbu Huang, Yang Liu, Tianjian Chen, Yongkai Zhou, Quan Sun, Hongfeng Chai, Qiang Yang

ACM Trans. Intell. Syst. Technol., 2021

FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection.

Yang Liu, Tao Fan, Tianjian Chen, Qian Xu, Qiang Yang

J. Mach. Learn. Res., 2021

Advances and Open Problems in Federated Learning.

Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

Found. Trends Mach. Learn., 2021

SecureBoost: A Lossless Federated Learning Framework.

Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Dimitrios Papadopoulos, Qiang Yang

IEEE Intell. Syst., 2021

Defending Label Inference and Backdoor Attacks in Vertical Federated Learning.

Yang Liu, Zhihao Yi, Yan Kang, Yuanqin He, Wenhan Liu, Tianyuan Zou, Qiang Yang

CoRR, 2021

Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability.

Yan Kang, Yang Liu, Yuezhou Wu, Guoqiang Ma, Qiang Yang

CoRR, 2021

FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning.

Zhifeng Jiang, Wei Wang, Yang Liu

CoRR, 2021

Self-supervised Cross-silo Federated Neural Architecture Search.

Xinle Liang, Yang Liu, Jiahuan Luo, Yuanqin He, Tianjian Chen, Qiang Yang

CoRR, 2021

Federated Learning-Powered Visual Object Detection for Safety Monitoring.

Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang

AI Mag., 2021

Deconvolutional Networks on Graph Data.

Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

A Gamified Research Tool for Incentive Mechanism Design in Federated Learning.

Zichen Chen, Zelei Liu, Kang Loon Ng, Han Yu, Yang Liu, Qiang Yang

Proceedings of the Federated Learning - Privacy and Incentive, 2020

A Construction of Optimal Frequency Hopping Sequence Set via Combination of Multiplicative and Additive Groups of Finite Fields.

Xianhua Niu, Chaoping Xing, Yang Liu, Liang Zhou

IEEE Trans. Inf. Theory, 2020

Multi-component transfer metric learning for handling unrelated source domain samples.

Chang'an Yi, Yonghui Xu, Han Yu, Yuguang Yan, Yang Liu

Knowl. Based Syst., 2020

A Sustainable Incentive Scheme for Federated Learning.

Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang

IEEE Intell. Syst., 2020

Introduction to the Special Issue on Federated Machine Learning.

Yang Liu, Han Yu, Qiang Yang

IEEE Intell. Syst., 2020

A Secure Federated Transfer Learning Framework.

Yang Liu, Yan Kang, Chaoping Xing, Tianjian Chen, Qiang Yang

IEEE Intell. Syst., 2020

SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images.

Chang Qi, Junyang Chen, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Yang Liu

CoRR, 2020

FedMVT: Semi-supervised Vertical Federated Learning with MultiView Training.

Yan Kang, Yang Liu, Tianjian Chen

CoRR, 2020

A VCG-based Fair Incentive Mechanism for Federated Learning.

Mingshu Cong, Han Yu, Xi Weng, Jiabao Qu, Yang Liu, Siu-Ming Yiu

CoRR, 2020

FedML: A Research Library and Benchmark for Federated Machine Learning.

Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr

CoRR, 2020

Backdoor attacks and defenses in feature-partitioned collaborative learning.

Yang Liu, Zhihao Yi, Tianjian Chen

CoRR, 2020

Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention.

Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Yuan Jin

CoRR, 2020

FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data.

Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Wotao Yin, Yang Liu

CoRR, 2020

A Survey towards Federated Semi-supervised Learning.

Yilun Jin, Xiguang Wei, Yang Liu, Qiang Yang

CoRR, 2020

Learning to Detect Malicious Clients for Robust Federated Learning.

Suyi Li, Yong Cheng, Wei Wang, Yang Liu, Tianjian Chen

CoRR, 2020

Mechanism Design for Multi-Party Machine Learning.

Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang

CoRR, 2020

Federated learning for privacy-preserving AI.

Yong Cheng, Yang Liu, Tianjian Chen, Qiang Yang

Commun. ACM, 2020

Addressing the Challenges of Government Service Provision with AI.

Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Yang Liu, Qiang Yang

AI Mag., 2020

BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning.

Chengliang Zhang, Suyi Li, Junzhe Xia, Wei Wang, Feng Yan, Yang Liu

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

A Multi-player Game for Studying Federated Learning Incentive Schemes.

Kang Loon Ng, Zichen Chen, Zelei Liu, Han Yu, Yang Liu, Qiang Yang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Federated Transfer Learning for EEG Signal Classification.

Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

RPN: A Residual Pooling Network for Efficient Federated Learning.

Anbu Huang, Yuanyuan Chen, Yang Liu, Tianjian Chen, Qiang Yang

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

A Fairness-aware Incentive Scheme for Federated Learning.

Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

FedVision: An Online Visual Object Detection Platform Powered by Federated Learning.

Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Federated Learning

Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, Tianjian Chen, Han Yu

Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01585-4, 2019

Federated Machine Learning: Concept and Applications.

Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong

ACM Trans. Intell. Syst. Technol., 2019

A Communication Efficient Vertical Federated Learning Framework.

Yang Liu, Yan Kang, Xinwei Zhang, Liping Li, Yong Cheng, Tianjian Chen, Mingyi Hong, Qiang Yang

CoRR, 2019

Advances and Open Problems in Federated Learning.

Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

CoRR, 2019

Reviewing and Improving the Gaussian Mechanism for Differential Privacy.

Jun Zhao, Teng Wang, Tao Bai, Kwok-Yan Lam, Xuebin Ren, Xinyu Yang, Shuyu Shi, Yang Liu, Han Yu

CoRR, 2019

Real-World Image Datasets for Federated Learning.

Jiahuan Luo, Xueyang Wu, Yun Luo, Anbu Huang, Yunfeng Huang, Yang Liu, Qiang Yang

CoRR, 2019

Abnormal Client Behavior Detection in Federated Learning.

Suyi Li, Yong Cheng, Yang Liu, Wei Wang, Tianjian Chen

CoRR, 2019

Federated Transfer Reinforcement Learning for Autonomous Driving.

Xinle Liang, Yang Liu, Tianjian Chen, Ming Liu, Qiang Yang

CoRR, 2019

HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography.

Dashan Gao, Ce Ju, Xiguang Wei, Yang Liu, Tianjian Chen, Qiang Yang

CoRR, 2019

SecureBoost: A Lossless Federated Learning Framework.

Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Qiang Yang

CoRR, 2019

A Revenue-Maximizing Bidding Strategy for Demand-Side Platforms.

Tengyun Wang, Haizhi Yang, Han Yu, Wenjun Zhou, Yang Liu, Hengjie Song

IEEE Access, 2019

Multi-Agent Visualization for Explaining Federated Learning.

Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen, Qiang Yang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Fair and Explainable Dynamic Engagement of Crowd Workers.

Han Yu, Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen, Qiang Yang, Xiong Peng

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Secure and Efficient Federated Transfer Learning.

Shreya Sharma, Chaoping Xing, Yang Liu, Yan Kang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Privacy-preserving Heterogeneous Federated Transfer Learning.

Dashan Gao, Yang Liu, Anbu Huang, Ce Ju, Han Yu, Qiang Yang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

An automatically vetting mechanism for SSL error-handling vulnerability in android hybrid Web apps.

Yang Liu, Chaoshun Zuo, Zonghua Zhang, Shanqing Guo, Xin-Shun Xu

World Wide Web, 2018

Secure Federated Transfer Learning.

Yang Liu, Tianjian Chen, Qiang Yang

CoRR, 2018

2016

SpatialGraphx: A Distributed Graph Computing Framework for Spatial and Temporal Data at Scale.

Changyuan Wang, Zongfei Lu, Yang Liu, Shanqing Guo, Xin-Shun Xu, Shijun Liu, Li-zhen Cui

Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016