Filip Granqvist

According to our database, Filip Granqvist authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

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

CoRR, 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

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

Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices.

Mingbin Xu, Congzheng Song, Ye Tian, Neha Agrawal, Filip Granqvist, Rogier C. van Dalen, Xiao Zhang, Arturo Argueta, Shiyi Han, Yaqiao Deng, Leo Liu, Anmol Walia, Alex Jin

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

FLAIR: Federated Learning Annotated Image Repository.

Congzheng Song, Filip Granqvist, Kunal Talwar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Enforcing fairness in private federated learning via the modified method of differential multipliers.

Borja Rodríguez Gálvez, Filip Granqvist, Rogier C. van Dalen, Matt Seigel

CoRR, 2021

Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications.

Matthias Paulik, Matt Seigel, Henry Mason, Dominic Telaar, Joris Kluivers, Rogier C. van Dalen, Chi Wai Lau, Luke Carlson, Filip Granqvist, Chris Vandevelde, Sudeep Agarwal, Julien Freudiger, Andrew Byde, Abhishek Bhowmick, Gaurav Kapoor, Si Beaumont, Áine Cahill, Dominic Hughes, Omid Javidbakht, Fei Dong, Rehan Rishi, Stanley Hung

CoRR, 2021

2020

Improving On-Device Speaker Verification Using Federated Learning with Privacy.

Filip Granqvist, Matt Seigel, Rogier C. van Dalen, Áine Cahill, Stephen Shum, Matthias Paulik

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020