no code implementations • 8 Oct 2023 • Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen
To further improve algorithm performance and alleviate local heterogeneous overfitting in Federated Learning (FL), our algorithm combines the Sharpness Aware Minimization (SAM) optimizer and local momentum.
no code implementations • 16 Aug 2023 • Qinglun Li, Li Shen, Guanghao Li, Quanjun Yin, DaCheng Tao
To address the communication burden issues associated with federated learning (FL), decentralized federated learning (DFL) discards the central server and establishes a decentralized communication network, where each client communicates only with neighboring clients.