Dai, Huaiyu

9 publications

ICLR 2025 GSBA$^K$: $top$-$k$ Geometric Score-Based Black-Box Attack Md Farhamdur Reza, Richeng Jin, Tianfu Wu, Huaiyu Dai
ICML 2025 NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel Gabriel Thompson, Kai Yue, Chau-Wai Wong, Huaiyu Dai
ICML 2025 Noisy SIGNSGD Is More Differentially Private than You (Might) Think Richeng Jin, Huaiyu Dai
AAAI 2024 FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou
NeurIPS 2023 Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy Richeng Jin, Zhonggen Su, Caijun Zhong, Zhaoyang Zhang, Tony Quek, Huaiyu Dai
ICCV 2023 CGBA: Curvature-Aware Geometric Black-Box Attack Md Farhamdur Reza, Ali Rahmati, Tianfu Wu, Huaiyu Dai
AAAI 2022 Efficient Device Scheduling with Multi-Job Federated Learning Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
IJCAI 2022 FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou
ICML 2022 Neural Tangent Kernel Empowered Federated Learning Kai Yue, Richeng Jin, Ryan Pilgrim, Chau-Wai Wong, Dror Baron, Huaiyu Dai