no code implementations • 6 May 2024 • Ying Zhuansun, Dandan Li, Xiaohong Huang, Caijun Sun
Recently, scholars have achieved the communication efficiency of federated learning mainly by model compression.
no code implementations • 17 Jul 2023 • Yanna Jiang, Baihe Ma, Xu Wang, Guangsheng Yu, Caijun Sun, Wei Ni, Ren Ping Liu
As a distributed learning, Federated Learning (FL) faces two challenges: the unbalanced distribution of training data among participants, and the model attack by Byzantine nodes.
no code implementations • 7 Jan 2023 • Guangsheng Yu, Xu Wang, Caijun Sun, Qin Wang, Ping Yu, Wei Ni, Ren Ping Liu, Xiwei Xu
Federated learning (FL) provides an effective machine learning (ML) architecture to protect data privacy in a distributed manner.