Yasaman Esfandiari

Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data

Decentralized learning enables a group of collaborative agents to learn models using a distributed dataset without the need for a central parameter server. Recently, decentralized learning algorithms have demonstrated state-of-the-art results on benchmark data sets, comparable with centralized algor…