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20232026
most citedFheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users

7 citations · 9 across the 6 of their papers we have counts for

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Showing 2025 · cs.CRShow all

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cs.CR2025

DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation

Charuka Herath, Yogachandran Rahulamathavan, Varuna De Silva +1

Federated Learning (FL) enables decentralized model training without sharing raw data, offering strong privacy guarantees. However, existing FL protocols struggle to defend against…