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cs.CR2024
QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning
Md Jueal Mia, M. Hadi Amini
Federated Learning has emerged as a leading approach for decentralized machine learning, enabling multiple clients to collaboratively train a shared model without exchanging privat…
cs.LG2024
CorBin-FL: A Differentially Private Federated Learning Mechanism using Common Randomness
Hojat Allah Salehi, Md Jueal Mia, S. Sandeep Pradhan +2
Federated learning (FL) has emerged as a promising framework for distributed machine learning. It enables collaborative learning among multiple clients, utilizing distributed data…