A. Korichi

ADAPTIVE SENSITIVE-LAYERS BASED HOMOMORPHIC ENCRYPTION FOR SCALABLE AND SECURE FEDERATED LEARNING

Federated Learning (FL) enables collaborative model training across decentralized clients while maintaining data locality; however, the protection of exchanged model updates remains a critical security challenge. While Full Homomorphic Encryption (FHE) ensures high confidentiality, its prohibitive computational and com...