Liu Yang

According to our database, Liu Yang authored at least 18 papers between 2020 and 2024.

Collaborative distances:

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

2024

A Survey for Federated Learning Evaluations: Goals and Measures.

Di Chai, Leye Wang, Liu Yang, Junxue Zhang, Kai Chen, Qiang Yang

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

High-Performance Hardware Acceleration Architecture for Cross-Silo Federated Learning.

Junxue Zhang, Xiaodian Cheng, Liu Yang, Jinbin Hu, Han Tian, Kai Chen

IEEE Trans. Parallel Distributed Syst., August, 2024

PackVFL: Efficient HE Packing for Vertical Federated Learning.

Liu Yang, Shuowei Cai, Di Chai, Junxue Zhang, Han Tian, Yilun Jin, Kun Guo, Kai Chen, Qiang Yang

CoRR, 2024

Efficient Decentralized Federated Singular Vector Decomposition.

Di Chai, Junxue Zhang, Liu Yang, Yilun Jin, Leye Wang, Kai Chen, Qiang Yang

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

2023

VERTICES: Efficient Two-Party Vertical Federated Linear Model with TTP-aided Secret Sharing.

Mingxuan Fan, Yilun Jin, Liu Yang, Zhenghang Ren, Kai Chen

CoRR, 2023

A Survey on Vertical Federated Learning: From a Layered Perspective.

Liu Yang, Di Chai, Junxue Zhang, Yilun Jin, Leye Wang, Hao Liu, Han Tian, Qian Xu, Kai Chen

CoRR, 2023

FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning.

Junxue Zhang, Xiaodian Cheng, Wei Wang, Liu Yang, Jinbin Hu, Kai Chen

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Globally Consistent Federated Graph Autoencoder for Non-IID Graphs.

Kun Guo, Yutong Fang, Qingqing Huang, Yuting Liang, Ziyao Zhang, Wenyu He, Liu Yang, Kai Chen, Ximeng Liu, Wenzhong Guo

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data.

Zhenghang Ren, Liu Yang, Kai Chen

ACM Trans. Intell. Syst. Technol., 2022

SoK: Fully Homomorphic Encryption Accelerators.

Junxue Zhang, Xiaodian Cheng, Liu Yang, Jinbin Hu, Ximeng Liu, Kai Chen

CoRR, 2022

Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data.

Di Chai, Leye Wang, Junxue Zhang, Liu Yang, Shuowei Cai, Kai Chen, Qiang Yang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Addressing Network Bottlenecks with Divide-and-Shuffle Synchronization for Distributed DNN Training.

Weiyan Wang, Cengguang Zhang, Liu Yang, Kai Chen, Kun Tan

Proceedings of the IEEE INFOCOM 2022, 2022

Practical and Secure Federated Recommendation with Personalized Mask.

Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kun Guo, Kai Chen, Qiang Yang

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

Secure Forward Aggregation for Vertical Federated Neural Networks.

Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen

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

2021

Practical and Secure Federated Recommendation with Personalized Masks.

Liu Yang, Ben Tan, Bo Liu, Vincent W. Zheng, Kai Chen, Qiang Yang

CoRR, 2021

2020

Federated Recommendation Systems.

Liu Yang, Ben Tan, Vincent W. Zheng, Kai Chen, Qiang Yang

Proceedings of the Federated Learning - Privacy and Incentive, 2020

Divide-and-Shuffle Synchronization for Distributed Machine Learning.

Weiyan Wang, Cengguang Zhang, Liu Yang, Jiacheng Xia, Kai Chen, Kun Tan

CoRR, 2020

Exploring Clustering of Bandits for Online Recommendation System.

Liu Yang, Bo Liu, Leyu Lin, Feng Xia, Kai Chen, Qiang Yang

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020