Filip Granqvist

12 papers A* 3A 1Misc 1Journal 7

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Samplable Anonymous Aggregation for Private Federated Data Analysis. CCS 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
2024	A*	`conf`	pfl-research: simulation framework for accelerating research in Private Federated Learning. NeurIPS Filip Granqvist, Congzheng Song, Áine Cahill, Rogier C. van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis
2024	J	`jnl`	pfl-research: simulation framework for accelerating research in Private Federated Learning. CoRR Filip Granqvist, Congzheng Song, Áine Cahill, Rogier C. van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis
2023	J	`jnl`	Samplable Anonymous Aggregation for Private Federated Data Analysis. CoRR 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
2023	Misc	`conf`	Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices. ICASSP 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
2022	A*	`conf`	FLAIR: Federated Learning Annotated Image Repository. NeurIPS Congzheng Song, Filip Granqvist, Kunal Talwar
2022	J	`jnl`	FLAIR: Federated Learning Annotated Image Repository. CoRR Congzheng Song, Filip Granqvist, Kunal Talwar
2022	J	`jnl`	Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices. CoRR 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
2021	J	`jnl`	Enforcing fairness in private federated learning via the modified method of differential multipliers. CoRR Borja Rodríguez Gálvez, Filip Granqvist, Rogier C. van Dalen, Matt Seigel
2021	J	`jnl`	Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications. CoRR 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
2020	A	`conf`	Improving On-Device Speaker Verification Using Federated Learning with Privacy. INTERSPEECH Filip Granqvist, Matt Seigel, Rogier C. van Dalen, Áine Cahill, Stephen Shum, Matthias Paulik
2020	J	`jnl`	Improving on-device speaker verification using federated learning with privacy. CoRR Filip Granqvist, Matt Seigel, Rogier C. van Dalen, Áine Cahill, Stephen Shum, Matthias Paulik