Talks and Presentations

• 2024 CDC. Differentially private online federated learning with correlated noise.
• 2024 ICASSP. Composite Federated Learning with Heterogeneous Data.
• 2024 ICASSP. Dynamic privacy allocation for locally differentially private federated learning with composite objectives.
• 2023 ICASSP. Byzantine-Robust and Communication-Efficient Personalized Federated Learning.
• 2021 SIAM Conference on Optimization. Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning.

Teaching

Courses I have TAed at CUHK

• ENGG 5501: Foundation of Optimization, by Prof. Anthony Man-Cho So Fall 2019,2020,2021
• FTEC 2101: Optimization Methods, by Prof. Hoi-To Wai Spring 2019
• SEEM 2440: Engineering Economics, by Prof. Dohyun Ahn Fall 2018,2019,2020