FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization

Dezhong Yao, Wanning Pan, Michael J O'Neill +4

One underlying assumption of recent federated learning (FL) paradigms is that all local models usually share the same network architecture and size, which becomes impractical for d…