Mona Chitnis

According to our database, Mona Chitnis authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Private Federated Learning In Real World Application - A Case Study.

An Ji, Bortik Bandyopadhyay, Congzheng Song, Natarajan Krishnaswami, Prabal Vashisht, Rigel Smiroldo, Isabel Litton, Sayantan Mahinder, Mona Chitnis, Andrew W. Hill

CoRR, February, 2025

2024

Momentum Approximation in Asynchronous Private Federated Learning.

Tao Yu, Congzheng Song, Jianyu Wang, Mona Chitnis

CoRR, 2024

pfl-research: simulation framework for accelerating research in Private Federated Learning.

Filip Granqvist, Congzheng Song, Áine Cahill, Rogier C. van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Samplable Anonymous Aggregation for Private Federated Data Analysis.

Kunal Talwar, Shan Wang, Audra McMillan, Vitaly Feldman, Pansy Bansal, Bailey Basile, Áine Cahill, Yi Sheng Chan, Mike Chatzidakis, Junye Chen, Oliver R. A. Chick, Mona Chitnis, Suman Ganta, Yusuf Goren, Filip Granqvist, Kristine Guo, Frederic Jacobs, Omid Javidbakht, Albert Liu, Richard Low, Dan Mascenik, Steve Myers, David Park, Wonhee Park, Gianni Parsa, Tommy Pauly, Christian Priebe, Rehan Rishi, Guy N. Rothblum, Congzheng Song, Linmao Song, Karl Tarbe, Sebastian Vogt, Shundong Zhou, Vojta Jina, Michael Scaria, Luke Winstrom

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Response to "Low cost, uncertain value: Why cheap PV may still not become UK's main power source".

Filip Mandys, Mona Chitnis, S. Ravi P. Silva

Patterns, May, 2023

Levelized cost estimates of solar photovoltaic electricity in the United Kingdom until 2035.

Filip Mandys, Mona Chitnis, S. Ravi P. Silva

Patterns, May, 2023

Samplable Anonymous Aggregation for Private Federated Data Analysis.

Kunal Talwar, Shan Wang, Audra McMillan, Vojta Jina, Vitaly Feldman, Bailey Basile, Áine Cahill, Yi Sheng Chan, Mike Chatzidakis, Junye Chen, Oliver R. A. Chick, Mona Chitnis, Suman Ganta, Yusuf Goren, Filip Granqvist, Kristine Guo, Frederic Jacobs, Omid Javidbakht, Albert Liu, Richard Low, Dan Mascenik, Steve Myers, David Park, Wonhee Park, Gianni Parsa, Tommy Pauly, Christian Priebe, Rehan Rishi, Guy N. Rothblum, Michael Scaria, Linmao Song, Congzheng Song, Karl Tarbe, Sebastian Vogt, Luke Winstrom, Shundong Zhou

CoRR, 2023

Population Expansion for Training Language Models with Private Federated Learning.

Tatsuki Koga, Congzheng Song, Martin Pelikan, Mona Chitnis

CoRR, 2023