Haozhe Feng*

BAFFLE: A Baseline of Backpropagation-Free Federated Learning

"Federated learning (FL) is a general principle for decentralized clients to train a server model collectively without sharing local data. FL is a promising framework with practical applications, but its standard training paradigm requires the clients to backpropagate through the model to compute gr…