Publications

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

Federated Learning with Privacy and Communication Efficiency on Heterogeneous Data

Jiaojiao Zhang, Yue Huang, Jiang Hu, Qing Ling

Chinese Control Conference (CCC), 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

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

Byzantine-Robust and Communication-Efficient Personalized Federated Learning

Jiaojiao Zhang, Xuechao He, Yue Huang, Qing Ling

IEEE Transactions on Signal Processing (TSP), 2024

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