Upholding Robustness in Federated Learning: Trends, Emerging Strategies, and Research Opportunities
arXiv:2609.28722v1 Announce Type: new Abstract: While Federated Learning (FL) has been widely adopted for protecting user privacy in machine learning, it remains vulnerable to various robustness challenges, including performance-impairment risks, information-stealing threats, and aggregation vulner…
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- 2026-09-25 04:00 · arXiv cs.LG
Upholding Robustness in Federated Learning: Trends, Emerging Strategies, and Research Opportunities