Jiang, Zhanhong

9 publications

TMLR 2025 Balancing Utility and Privacy: Dynamically Private SGD with Random Projection Zhanhong Jiang, Md Zahid Hasan, Nastaran Saadati, Aditya Balu, Chao Liu, Soumik Sarkar

ICLR 2025 Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody Fleming

NeurIPSW 2024 A Unified Convergence Theory for Large Language Model Efficient Fine-Tuning Zhanhong Jiang, Nastaran Saadati, Aditya Balu, Minh Pham, Joshua Russell Waite, Nasla Saleem, Chinmay Hegde, Soumik Sarkar

TMLR 2024 Asynchronous Training Schemes in Distributed Learning with Time Delay Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M Lee

NeurIPSW 2023 A Predicting Clipping Asynchronous Stochastic Gradient Descent Method in Distributed Learning Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M Lee

AAAI 2022 MDPGT: Momentum-Based Decentralized Policy Gradient Tracking Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar

ICML 2021 Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar

NeurIPS 2018 Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron Havens, Zhanhong Jiang, Soumik Sarkar

NeurIPS 2017 Collaborative Deep Learning in Fixed Topology Networks Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar