2025
Heterogeneous Federated Learning Framework for IIoT Based on Selective Knowledge Distillation.
IEEE Trans. Ind. Informatics, February, 2025
Guest Editorial: Special Issue on Trustworthy Federated Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2025
2024
Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning.
IEEE Trans. Big Data, December, 2024
Privacy-Preserving Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability.
IEEE Trans. Big Data, December, 2024
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training.
ACM Trans. Intell. Syst. Technol., October, 2024
Vertical Federated Learning: Concepts, Advances, and Challenges.
IEEE Trans. Knowl. Data Eng., July, 2024
AQUILA: Communication Efficient Federated Learning With Adaptive Quantization in Device Selection Strategy.
IEEE Trans. Mob. Comput., June, 2024
SAFARI: Sparsity-Enabled Federated Learning With Limited and Unreliable Communications.
IEEE Trans. Mob. Comput., May, 2024
FedHAP: Federated Hashing With Global Prototypes for Cross-Silo Retrieval.
IEEE Trans. Parallel Distributed Syst., April, 2024
A Federated Learning Framework Based on Differentially Private Continuous Data Release.
IEEE Trans. Dependable Secur. Comput., 2024
A mechanism design approach for multi-party machine learning.
Theor. Comput. Sci., 2024
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach.
CoRR, 2024
Graph Pre-Training Models Are Strong Anomaly Detectors.
CoRR, 2024
Autonomous Driving in Unstructured Environments: How Far Have We Come?
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CoRR, 2024
FedL2G: Learning to Guide Local Training in Heterogeneous Federated Learning.
CoRR, 2024
Enhancing Parameter Efficiency and Generalization in Large-Scale Models: A Regularized and Masked Low-Rank Adaptation Approach.
CoRR, 2024
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning.
CoRR, 2024
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering.
CoRR, 2024
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment.
Proceedings of the ACM on Web Conference 2024, 2024
Improved Sparse Activity Detection Based on Optimized Measurement Matrix in mMTC.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Federated Adaptation for Foundation Model-based Recommendations.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Long-Periodicity Detection from Massive Alarms in Power System.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2024
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Federated PAC-Bayesian Learning on Non-IID Data.
Proceedings of the IEEE International Conference on Acoustics, 2024
A Weakly Supervised Part Detection Method for Robust Fine-Grained Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Defending Against Inference and Backdoor Attacks in Vertical Federated Learning via Mutual Information Regularization.
Proceedings of the IEEE International Conference on Big Data, 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A multimodal approach for improving market price estimation in online advertising.
Knowl. Based Syst., April, 2023
CAreFL: Enhancing smart healthcare with Contribution-Aware Federated Learning.
AI Mag., March, 2023
Towards efficient communications in federated learning: A contemporary survey.
J. Frankl. Inst., 2023
Federated Learning without Full Labels: A Survey.
IEEE Data Eng. Bull., 2023
Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer.
CoRR, 2023
PFLlib: Personalized Federated Learning Algorithm Library.
CoRR, 2023
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning.
CoRR, 2023
Federated PAC-Bayesian Learning on Non-IID data.
CoRR, 2023
Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation.
CoRR, 2023
AQUILA: Communication Efficient Federated Learning with Adaptive Quantization of Lazily-Aggregated Gradients.
CoRR, 2023
AIGC Empowering Telecom Sector White Paper_chinese.
CoRR, 2023
Eliminating Label Leakage in Tree-Based Vertical Federated Learning.
CoRR, 2023
6G Network Business Support System.
CoRR, 2023
6G Network Operation Support System.
CoRR, 2023
Federated Learning without Full Labels: A Survey.
CoRR, 2023
Deep Insights into Noisy Pseudo Labeling on Graph Data.
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.
Proceedings of the IEEE INFOCOM 2023, 2023
Multimodal Federated Learning via Contrastive Representation Ensemble.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt.
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.
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.
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.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Inspecting the Running Process of Horizontal Federated Learning via Visual Analytics.
IEEE Trans. Vis. Comput. Graph., 2022
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features.
IEEE Trans. Signal Process., 2022
Customized Federated Learning for Multi-Source Decentralized Medical Image Classification.
IEEE J. Biomed. Health Informatics, 2022
Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2.
ACM Trans. Intell. Syst. Technol., 2022
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1.
ACM Trans. Intell. Syst. Technol., 2022
Communication-Efficient Federated Learning with Adaptive Quantization.
ACM Trans. Intell. Syst. Technol., 2022
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning.
ACM Trans. Intell. Syst. Technol., 2022
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training.
ACM Trans. Intell. Syst. Technol., 2022
Semi-Supervised Federated Heterogeneous Transfer Learning.
Knowl. Based Syst., 2022
Vertical Federated Learning.
CoRR, 2022
Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation.
CoRR, 2022
Brisk-Yolo: A Lightweight Object Detection Algorithm for Edge Devices.
Proceedings of the IEEE Smartworld, 2022
TailorFL: Dual-Personalized Federated Learning under System and Data Heterogeneity.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022
Privacy-Preserving Federated Cross-Domain Social Recommendation.
Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022
Federated Capsule Graph Neural Network with Personalization.
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.
Proceedings of the Computer Vision - ECCV 2022, 2022
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Contribution-Aware Federated Learning for Smart Healthcare.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data.
IEEE Trans. Signal Process., 2021
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing.
ACM Trans. Intell. Syst. Technol., 2021
FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection.
J. Mach. Learn. Res., 2021
Advances and Open Problems in Federated Learning.
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Found. Trends Mach. Learn., 2021
SecureBoost: A Lossless Federated Learning Framework.
IEEE Intell. Syst., 2021
Defending Label Inference and Backdoor Attacks in Vertical Federated Learning.
CoRR, 2021
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability.
CoRR, 2021
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning.
CoRR, 2021
Self-supervised Cross-silo Federated Neural Architecture Search.
CoRR, 2021
Federated Learning-Powered Visual Object Detection for Safety Monitoring.
AI Mag., 2021
Deconvolutional Networks on Graph Data.
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.
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.
IEEE Trans. Inf. Theory, 2020
Multi-component transfer metric learning for handling unrelated source domain samples.
Knowl. Based Syst., 2020
A Sustainable Incentive Scheme for Federated Learning.
IEEE Intell. Syst., 2020
Introduction to the Special Issue on Federated Machine Learning.
IEEE Intell. Syst., 2020
A Secure Federated Transfer Learning Framework.
IEEE Intell. Syst., 2020
SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images.
CoRR, 2020
FedMVT: Semi-supervised Vertical Federated Learning with MultiView Training.
CoRR, 2020
A VCG-based Fair Incentive Mechanism for Federated Learning.
CoRR, 2020
FedML: A Research Library and Benchmark for Federated Machine Learning.
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CoRR, 2020
Backdoor attacks and defenses in feature-partitioned collaborative learning.
CoRR, 2020
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention.
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CoRR, 2020
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data.
CoRR, 2020
A Survey towards Federated Semi-supervised Learning.
CoRR, 2020
Learning to Detect Malicious Clients for Robust Federated Learning.
CoRR, 2020
Mechanism Design for Multi-Party Machine Learning.
CoRR, 2020
Federated learning for privacy-preserving AI.
Commun. ACM, 2020
Addressing the Challenges of Government Service Provision with AI.
AI Mag., 2020
BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning.
Proceedings of the 2020 USENIX Annual Technical Conference, 2020
A Multi-player Game for Studying Federated Learning Incentive Schemes.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Federated Transfer Learning for EEG Signal Classification.
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.
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.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01585-4, 2019
Federated Machine Learning: Concept and Applications.
ACM Trans. Intell. Syst. Technol., 2019
A Communication Efficient Vertical Federated Learning Framework.
CoRR, 2019
Advances and Open Problems in Federated Learning.
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CoRR, 2019
Reviewing and Improving the Gaussian Mechanism for Differential Privacy.
CoRR, 2019
Real-World Image Datasets for Federated Learning.
CoRR, 2019
Abnormal Client Behavior Detection in Federated Learning.
CoRR, 2019
Federated Transfer Reinforcement Learning for Autonomous Driving.
CoRR, 2019
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography.
CoRR, 2019
SecureBoost: A Lossless Federated Learning Framework.
CoRR, 2019
A Revenue-Maximizing Bidding Strategy for Demand-Side Platforms.
IEEE Access, 2019
Multi-Agent Visualization for Explaining Federated Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Fair and Explainable Dynamic Engagement of Crowd Workers.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Secure and Efficient Federated Transfer Learning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Privacy-preserving Heterogeneous Federated Transfer Learning.
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.
World Wide Web, 2018
Secure Federated Transfer Learning.
CoRR, 2018
2016
SpatialGraphx: A Distributed Graph Computing Framework for Spatial and Temporal Data at Scale.
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016