| Federated evaluation and tuning for on-device personalization: System design & applications M Paulik, M Seigel, H Mason, D Telaar, J Kluivers, R van Dalen, CW Lau, ... arXiv preprint arXiv:2102.08503, 2021 | 105 | 2021 |
| Improving on-device speaker verification using federated learning with privacy F Granqvist, M Seigel, R Van Dalen, A Cahill, S Shum, M Paulik arXiv preprint arXiv:2008.02651, 2020 | 65 | 2020 |
| Samplable anonymous aggregation for private federated data analysis K Talwar, S Wang, A McMillan, V Jina, V Feldman, P Bansal, B Basile, ... arXiv preprint arXiv:2307.15017, 2023 | 8 | 2023 |
| Training a Tokenizer for Free with Private Federated Learning E Bagdasaryan, C Song, R van Dalen, M Seigel, Á Cahill arXiv preprint arXiv:2203.09943, 2022 | 3 | 2022 |
| Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials J Scott, Á Cahill arXiv preprint arXiv:2406.02416, 2024 | | 2024 |
| pfl-research: simulation framework for accelerating research in Private Federated Learning F Granqvist, C Song, Á Cahill, R van Dalen, M Pelikan, YS Chan, X Feng, ... arXiv preprint arXiv:2404.06430, 2024 | | 2024 |
