VFEFL: Privacy-Preserving Federated Learning against Malicious Clients via Verifiable Functional Encryption

Nina Cai, Jinguang Han, Weizhi Meng

Federated learning is a promising distributed learning paradigm that enables collaborative model training without exposing local client data, thereby protecting data privacy. Howev…