Filip Granqvist

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Speaker Verification

Top Venues

Publications

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 (2024)
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
Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices. ICASSP (2023)
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 Rothblum, Michael Scaria, Linmao Song, Congzheng Song, Karl Tarbe, Sebastian Vogt, Luke Winstrom, Shundong Zhou
Samplable Anonymous Aggregation for Private Federated Data Analysis. CoRR (2023)
Congzheng Song, Filip Granqvist, Kunal Talwar
FLAIR: Federated Learning Annotated Image Repository. NeurIPS (2022)
Congzheng Song, Filip Granqvist, Kunal Talwar
FLAIR: Federated Learning Annotated Image Repository. CoRR (2022)
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
Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices. CoRR (2022)
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
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications. CoRR (2021)
Borja Rodríguez Gálvez, Filip Granqvist, Rogier C. van Dalen, Matt Seigel
Enforcing fairness in private federated learning via the modified method of differential multipliers. CoRR (2021)
Filip Granqvist, Matt Seigel, Rogier C. van Dalen, Áine Cahill, Stephen Shum, Matthias Paulik
Improving On-Device Speaker Verification Using Federated Learning with Privacy. INTERSPEECH (2020)
Filip Granqvist, Matt Seigel, Rogier C. van Dalen, Áine Cahill, Stephen Shum, Matthias Paulik
Improving on-device speaker verification using federated learning with privacy. CoRR (2020)