Huaiyu Dai

Full Professor@North Carolina State University·美国·OpenReview

研究方向

federated learning · distributed learning · machine learning · network science · complex networks · information spreading · adversarial examples · graph neural networks · reinforcement learning · machine learning for wireless networking

5.0

Boosting Targeted Adversarial Transferability: A Generative Approach Guided by Core Target Samples

ICLR 2026Rejected

通讯

3.0

NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel

ICLR 2025Rejected

通讯

4.9

NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel

ICML 2025Poster

通讯

3.7

Federated Learning Nodes Can Reconstruct Peers' Image Data

合作者 (8)

Huaiyu Dai

Boosting Targeted Adversarial Transferability: A Generative Approach Guided by Core Target Samples

Federated Learning Nodes Can Reconstruct Peers’ Image Data

Noisy SIGNSGD Is More Differentially Private Than You (Might) Think

GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack

NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel

NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel

Federated Learning Nodes Can Reconstruct Peers' Image Data