‪Kai Yue‬ - ‪Google Scholar‬

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Co-authors

Huaiyu DaiProfessor of Electrical and Computer Engineering, NC State UniversityVerified email at ncsu.edu
Richeng JinZhejiang UniversityVerified email at zju.edu.cn
Chau-Wai WongNorth Carolina State UniversityVerified email at ncsu.edu
Dror BaronNorth Carolina State UniversityVerified email at ncsu.edu
Ryan PilgrimPhD student, Johns Hopkins UniversityVerified email at jhu.edu

Kai Yue

Kai Yue

PhD student, NC State University

Verified email at ncsu.edu - Homepage

Federated Learning Artificial Intelligence


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Gradient obfuscation gives a false sense of security in federated learning K Yue, R Jin, CW Wong, D Baron, H Dai 32nd USENIX Security Symposium (USENIX Security 23), 6381-6398, 2023	17	2023
Neural tangent kernel empowered federated learning K Yue, R Jin, R Pilgrim, CW Wong, D Baron, H Dai International Conference on Machine Learning, 25783-25803, 2022	14	2022
Communication-efficient federated learning via predictive coding K Yue, R Jin, CW Wong, H Dai IEEE Journal of Selected Topics in Signal Processing 16 (3), 369-380, 2022	10	2022
Federated learning via plurality vote K Yue, R Jin, CW Wong, H Dai IEEE Transactions on Neural Networks and Learning Systems, 2022	9	2022
TernaryVote: Differentially Private, Communication Efficient, and Byzantine Resilient Distributed Optimization on Heterogeneous Data R Jin, Y Gu, K Yue, X He, Z Zhang, H Dai arXiv preprint arXiv:2402.10816, 2024		2024

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