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20232026
most citedBoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning

3 citations · 4 across the 4 of their papers we have counts for

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2 papers · 1 filter

cs.CR2026

Aegis: Generative Gradient Masking for Privacy-Preserving Medical Federated Learning

Chaoyu Zhang, Shanghao Shi, Heng Jin +3

Federated learning (FL) has become a foundational paradigm for multi-institutional medical AI, allowing hospitals and research centers to jointly train diagnostic models without ex…

cs.DC2026

Model-Consistent Byzantine-Resilient Decentralized Federated Learning for Collaborative Missions

Yue Li, Sudip Bhujel, Cameron Lira +2

Decentralized federated learning (DFL) is a promising paradigm for autonomous nodes to collaboratively train AI models without relying on a central server. However, existing DFL so…