Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms
arXiv:2604.20492v1 Announce Type: cross
Abstract: In this paper, it is shown, for the first time, that centralized performance is achievable in decentralized learning without sharing the local datasets. Specifically, when clients adopt an empirical ri…