Asymmetrically Decentralized Federated Learning

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.

Federated Learning

DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning

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.

Federated Learning