D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning

Aurélien Bellet, Anne-Marie Kermarrec, Erick Lavoie

The convergence speed of machine learning models trained with Federated Learning is significantly affected by heterogeneous data partitions, even more so in a fully decentralized s…