Huang, Y., Wu, Z., & Ling, Q. (2024). "On the Convergence of Single-Timescale Multi-Sequence Stochastic Approximation without Fixed Point Smoothness." International Conference on Acoustics, Speech and Signal Processing (**ICASSP**), 2024.
Zhang, J., He, X., Huang, Y., & Ling, Q. (2024). "Byzantine-Robust and Communication-Efficient Personalized Federated Learning." IEEE Transactions on Signal Processing, 73, 26-39.
Huang, Y., Zhang, J., & Ling, Q. (2025). "Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients." International Conference on Artificial Intelligence and Statistics (AISTATS).
Huang, Y., Wu, Z., Ma, S., & Ling, Q. (2025). "Single-Timescale Multi-Sequence Stochastic Approximation without Fixed Point Smoothness: Theories and Applications." IEEE Transactions on Signal Processing.
Zhang, J., Huang, Y., Hu, J., & Ling, Q. (2025). "Federated Learning with Privacy and Communication Efficiency on Heterogeneous Data." 2025 44th Chinese Control Conference (CCC), 5991-5996.
Huang, Y., Zhang, J., & Ling, Q. (2025). "Memory-Efficient Correlated Noise for Locally Differentially Private Momentum in Distributed Learning." 2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP).
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA