Ternary Compression for Communication-Efficient Federated Learning

Xu，Jinjin1; Du，Wenli2; Jin，Yaochu3; He，Wangli1; Cheng，Ran4

2022-03

10.1109/TNNLS.2020.3041185

IEEE Transactions on Neural Networks and Learning Systems   影响因子和分区

2162-2388

Communication efficiency deep learning federated learning ternary coding

EI ; SCI

ESI高被引

其他

20205209677109

Deep learning ; Privacy-preserving techniques ; Internet of things

Ergonomics and Human Factors Engineering:461.4 ; Telecommunication; Radar, Radio and Television:716 ; Telephone Systems and Related Technologies; Line Communications:718 ; Data Communication, Equipment and Techniques:722.3 ; Computer Software, Data Handling and Applications:723 ; Data Processing and Image Processing:723.2 ; Machine Learning:723.4.2

IEEE

1.Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China, and also with the Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China.
2.Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China, and also with the Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China (e-mail: wldu@ecust.edu.cn)
3.Department of Computer Science, University of Surrey, Guildford GU2 7XH, U.K., and also with the Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China (e-mail: yaochu.jin@surrey.ac.uk)
4.Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.

Xu，Jinjin,Du，Wenli,Jin，Yaochu,et al. Ternary Compression for Communication-Efficient Federated Learning[J]. IEEE Transactions on Neural Networks and Learning Systems,2022,33(3):1162-1176.

Xu，Jinjin,Du，Wenli,Jin，Yaochu,He，Wangli,&Cheng，Ran.(2022).Ternary Compression for Communication-Efficient Federated Learning.IEEE Transactions on Neural Networks and Learning Systems,33(3),1162-1176.

Xu，Jinjin,et al."Ternary Compression for Communication-Efficient Federated Learning".IEEE Transactions on Neural Networks and Learning Systems 33.3(2022):1162-1176.