Auto-weighted Robust Federated Learning with Corrupted Data SourcesShenghui Li, Thiemo Voigt, Edith C.‐H. Ngai et al.|ACM Transactions on Intelligent Systems and Technology|2022Cited by 34
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated LearningShenghui Li, Thiemo Voigt, Fanghua Ye et al.|Unknown|2024Cited by 13
Synergizing Foundation Models and Federated Learning: A SurveyShenghui Li, Thiemo Voigt, Fanghua Ye et al.|arXiv (Cornell University)|2024Cited by 1
Demo Abstract: Blades: A Unified Benchmark Suite for Byzantine-Resilient in Federated LearningShenghui Li, Thiemo Voigt, Edith C.‐H. Ngai et al.|Unknown|2024Cited by 1
PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-TuningShenghui Li, Thiemo Voigt, Fanghua Ye et al.|arXiv (Cornell University)|2024Cited by 1