| Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Foundations and trends® in machine learning 14 (1–2), 1-210, 2021 | 6953 | 2021 |
| Practical secure aggregation for privacy-preserving machine learning K Bonawitz, V Ivanov, B Kreuter, A Marcedone, HB McMahan, S Patel, ... proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017 | 3632 | 2017 |
| Towards federated learning at scale: System design K Bonawitz, H Eichner, W Grieskamp, D Huba, A Ingerman, V Ivanov, ... arXiv preprint arXiv:1902.01046, 2019 | 3454 | 2019 |
| Church: a language for generative models N Goodman, V Mansinghka, DM Roy, K Bonawitz, JB Tenenbaum arXiv preprint arXiv:1206.3255, 2012 | 1018 | 2012 |
| Practical secure aggregation for federated learning on user-held data K Bonawitz, V Ivanov, B Kreuter, A Marcedone, HB McMahan, S Patel, ... arXiv preprint arXiv:1611.04482, 2016 | 618 | 2016 |
| Secure Single-Server Aggregation with (Poly) Logarithmic Overhead J Bell, KA Bonawitz, A Gascón, T Lepoint, M Raykova ePrint, 2020 | 491 | 2020 |
| Discrete distribution estimation under local privacy P Kairouz, K Bonawitz, D Ramage International Conference on Machine Learning, 2436-2444, 2016 | 406 | 2016 |
| Mariana Raykova, Dawn Song, Weikang Song, Sebastian U P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth …, 2021 | 231 | 2021 |
| Federated learning with autotuned communication-efficient secure aggregation K Bonawitz, F Salehi, J Konečný, B McMahan, M Gruteser 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1222-1226, 2019 | 93 | 2019 |
| Federated learning and privacy: Building privacy-preserving systems for machine learning and data science on decentralized data K Bonawitz, P Kairouz, B McMahan, D Ramage Queue 19 (5), 87-114, 2021 | 87 | 2021 |
| Reverse iteration of planning data for system control KA Bonawitz US Patent 9,201,426, 2015 | 62 | 2015 |
| Context aware local differential privacy J Acharya, K Bonawitz, P Kairouz, D Ramage, Z Sun International Conference on Machine Learning, 52-62, 2020 | 54 | 2020 |
| Methods and systems for performing flocking while executing a long-range fleet plan KA Bonawitz, D Piponi US Patent 8,781,727, 2014 | 53 | 2014 |
| Selection between explore mode and control mode for aerial vehicle KA Bonawitz, J Mathe US Patent 9,836,063, 2017 | 45 | 2017 |
| Federated learning and privacy K Bonawitz, P Kairouz, B Mcmahan, D Ramage Communications of the ACM 65 (4), 90-97, 2022 | 42 | 2022 |
| & Zhao, S.(2021). Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Foundations and Trends® in Machine Learning 14 (1-2), 1-210, 1912 | 37 | 1912 |
| Method and device for determining communication timing KA Bonawitz US Patent 9,148,215, 2015 | 33 | 2015 |
| Methods and systems for determining fleet trajectories to satisfy a sequence of coverage requirements KA Bonawitz, A Treuille US Patent 9,014,957, 2015 | 33 | 2015 |
| Methods and systems for decomposing fleet planning optimizations via spatial partitions KA Bonawitz US Patent 8,874,356, 2014 | 33 | 2014 |
| Towards sparse federated analytics: Location heatmaps under distributed differential privacy with secure aggregation E Bagdasaryan, P Kairouz, S Mellem, A Gascón, K Bonawitz, D Estrin, ... arXiv preprint arXiv:2111.02356, 2021 | 31 | 2021 |
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