Elaheh Sadredini

NETFL: Network Efficient Fully Secure Federated Learning at Scale

Federated Learning (FL) enables collaborative model training without centralizing client data, making it well-suited for privacy-sensitive domains. Existing approaches use techniques such as homomorphic encryption, differential privacy, and secure multi-party computation to mitigate attacks including model inversion, m...