D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning-Reference-Cited by-同舟云学术

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

Published:2022-09 Issue: Volume: Page:
ISSN:
Container-title:2022 41st International Symposium on Reliable Distributed Systems (SRDS)
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Author:

Bellet Aurelien¹,Kermarrec Anne-Marie²,Lavoie Erick²

Affiliation:

1. Inria,Lille,France

2. EPFL,Switzerland

Funder

French National Research Agency (ANR)

Publisher

IEEE

Link

Reference39 articles.

1. Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs;zantedeschi;AISTATS,2020

2. Cross-Gradient Aggregation for Decentralized Learning from Non-IID data;esfandiari;Tech Rep,2021

3. Decentralized Collaborative Learning of Personalized Models over Networks;vanhaesebrouck;AISTATS,2017

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