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Security and Privacy in Federated Learning with Non-IID Data: Knowledge Deception, Concealment, and Multi-Perspective Defenses
Xu, Hairuo (2025-11-25) ETD File Embargoed
Federated learning (FL) enables collaborative model training across decentralized data silos without direct data sharing, providing significant privacy advantages. However, its distributed nature also makes it vulnerable ...
