2024
Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors
ICML 2024poster
Conventional Federated Learning (FL) involves collaborative training of a global model while maintaining user data privacy. One of its branches, decentralized FL, is a serverless network that allows clients to own and optimize different local models separately, which results in saving management and…