1. Memory-Efficient Correlated Noise for Locally Differentially Private Momentum in Distributed Learning Permalink
Published in 2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP), 2025
Publications
2. Federated Learning with Privacy and Communication Efficiency on Heterogeneous Data Permalink
Published in 2025 44th Chinese Control Conference (CCC), 2025
3. Single-timescale multi-sequence stochastic approximation without fixed point smoothness: Theories and applications Permalink
Published in IEEE Transactions on Signal Processing, 2025
4. Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients Permalink
Published in The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
5. Byzantine-robust and communication-efficient personalized federated learning Permalink
Published in IEEE Transactions on Signal Processing, 2024
6. On the Convergence of Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness Permalink
Published in ICASSP 2024 - IEEE International Conference on Acoustics, Speech and Signal Processing, 2024