Muyun Li

Deep-Relative-Trust-Based Diffusion for Decentralized Deep Learning

Decentralized learning strategies allow a collection of agents to learn efficiently from local data sets without the need for central aggregation or orchestration. Current decentralized learning paradigms typically rely on an averaging mechanism to encourage agreement in the parameter space. We argu…