Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data
Yasaman Esfandiari 1 Sin Yong Tan 1 Zhanhong Jiang 2 Aditya Balu 1 Ethan Herron 1 Chinmay Hegde 3
Soumik Sarkar 1
Abstract
Decentralized learning enables a group of collab-
orative agents to learn models using a distributed
dataset without the need for a central parame-
ter server. Recently, decentralized learning algo-
rithms have demonstrated state-of-the-art results
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