FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients

Leming Shen, Qiang Yang, Kaiyan Cui +4

Federated Learning (FL) facilitates collaborative training of a shared global model without exposing clients' private data. In practical FL systems, clients (e.g., edge servers, sm…