Zhan, Hongyuan

5 publications

ICML 2024 PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar
ICLRW 2024 PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar
ICLRW 2023 Privately Customizing Prefinetuning to Better Match User Data in Federated Learning Charlie Hou, Hongyuan Zhan, Akshat Shrivastava, Sid Wang, Aleksandr Livshits, Giulia Fanti, Daniel Lazar
AISTATS 2022 Federated Learning with Buffered Asynchronous Aggregation John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Mike Rabbat, Mani Malek, Dzmitry Huba
NeurIPSW 2022 FedSynth: Gradient Compression via Synthetic Data in Federated Learning Shengyuan Hu, Jack Goetz, Kshitiz Malik, Hongyuan Zhan, Zhe Liu, Yue Liu