FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection
arXiv:2604.24012v2 Announce Type: replace
Abstract: Federated learning enables a population of clients to collaboratively train machine learning models without exchanging their raw data, but standard algorithms such as FedAvg suffer from slow converge…