Song, Congzheng

7 publications

NeurIPS 2024 $\texttt{pfl-Research}$: Simulation Framework for Accelerating Research in Private Federated Learning Filip Granqvist, Congzheng Song, Áine Cahill, Rogier van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis

NeurIPSW 2024 $\texttt{pfl-Research}$: Simulation Framework for Accelerating Research in Private Federated Learning Filip Granqvist, Congzheng Song, Áine Cahill, Rogier van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta J, Mona Chitnis

NeurIPSW 2024 Momentum Approximation in Asynchronous Private Federated Learning Tao Yu, Congzheng Song, Jianyu Wang, Mona Chitnis

ICMLW 2023 Population Expansion for Training Language Models with Private Federated Learning Tatsuki Koga, Congzheng Song, Martin Pelikan, Mona Chitnis

NeurIPS 2022 FLAIR: Federated Learning Annotated Image Repository Congzheng Song, Filip Granqvist, Kunal Talwar

IJCAI 2020 Generalized Zero-Shot Text Classification for ICD Coding Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing

ICLR 2020 Overlearning Reveals Sensitive Attributes Congzheng Song, Vitaly Shmatikov