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cs.CR2024
Client-Side Patching against Backdoor Attacks in Federated Learning
Borja Molina-Coronado
Federated learning is a versatile framework for training models in decentralized environments. However, the trust placed in clients makes federated learning vulnerable to backdoor…
cs.CR2024
Celtibero: Robust Layered Aggregation for Federated Learning
Borja Molina-Coronado
Federated Learning (FL) is an innovative approach to distributed machine learning. While FL offers significant privacy advantages, it also faces security challenges, particularly f…