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

15 April 2021

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

2 / 2 papers shown

Title
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 18 221 0 15 Nov 2022
Throughput-Optimal Topology Design for Cross-Silo Federated Learning Othmane Marfoq Chuan Xu Giovanni Neglia Richard Vidal FedML 43 85 0 23 Oct 2020