Current data compression methods, such as sparsification in Federated Averaging (FedAvg), effectively enhance the communication efficiency of Federated Learning (FL) …
J Yang, Y Liu - arXiv preprint arXiv:2409.01251, 2024 - arxiv.org
Split Federated Learning (SFL) splits and collaboratively trains a shared model between clients and server, where clients transmit activations and client-side models to server for …