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On the Convergence of Single-Timescale Multi-Sequence Stochastic Approximation without Fixed Point Smoothness
Yue Huang, Zhaoxian Wu, Qing Ling
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
Byzantine-Robust and Communication-Efficient Personalized Federated Learning
Jiaojiao Zhang, Xuechao He, Yue Huang, Qing Ling
IEEE Transactions on Signal Processing (TSP), 2024
Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients
Yue Huang, Jiaojiao Zhang, Qing Ling
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Single-Timescale Multi-Sequence Stochastic Approximation without Fixed Point Smoothness: Theories and Applications
Yue Huang, Zhaoxian Wu, Shiqian Ma, Qing Ling
IEEE Transactions on Signal Processing (TSP), 2025
Federated Learning with Privacy and Communication Efficiency on Heterogeneous Data
Jiaojiao Zhang, Yue Huang, Jiang Hu, Qing Ling
Chinese Control Conference (CCC), 2025
Memory-Efficient Correlated Noise for Locally Differentially Private Momentum in Distributed Learning
Yue Huang, Jiaojiao Zhang, Qing Ling
IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2025
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