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2020 – today
- 2024
[i4]Tao Yu, Congzheng Song, Jianyu Wang, Mona Chitnis:
Momentum Approximation in Asynchronous Private Federated Learning. CoRR abs/2402.09247 (2024)- [i3]Filip Granqvist, Congzheng Song, Áine Cahill, Rogier C. van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis:
pfl-research: simulation framework for accelerating research in Private Federated Learning. CoRR abs/2404.06430 (2024) - 2023
- [j2]Filip Mandys
, Mona Chitnis, S. Ravi P. Silva:
Levelized cost estimates of solar photovoltaic electricity in the United Kingdom until 2035. Patterns 4(5): 100735 (2023) - [j1]Filip Mandys, Mona Chitnis, S. Ravi P. Silva:
Response to "Low cost, uncertain value: Why cheap PV may still not become UK's main power source". Patterns 4(5): 100753 (2023) - [i2]Tatsuki Koga, Congzheng Song, Martin Pelikan, Mona Chitnis:
Population Expansion for Training Language Models with Private Federated Learning. CoRR abs/2307.07477 (2023) - [i1]Kunal Talwar, Shan Wang, Audra McMillan, Vojta Jina, Vitaly Feldman, Bailey Basile, Áine Cahill, Yi Sheng Chan, Mike Chatzidakis, Junye Chen, Oliver 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:
Samplable Anonymous Aggregation for Private Federated Data Analysis. CoRR abs/2307.15017 (2023)
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