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Kallista A. Bonawitz
Kallista A. Bonawitz
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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
58912021
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
31992017
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
31072019
Church: a language for generative models
N Goodman, V Mansinghka, DM Roy, K Bonawitz, JB Tenenbaum
arXiv preprint arXiv:1206.3255, 2012
10042012
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
5352016
Secure Single-Server Aggregation with (Poly) Logarithmic Overhead
J Bell, KA Bonawitz, A Gascón, T Lepoint, M Raykova
ePrint, 2020
4092020
Discrete distribution estimation under local privacy
P Kairouz, K Bonawitz, D Ramage
International Conference on Machine Learning, 2436-2444, 2016
3712016
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
1812021
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
852019
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
682021
Reverse iteration of planning data for system control
KA Bonawitz
US Patent 9,201,426, 2015
592015
Methods and systems for performing flocking while executing a long-range fleet plan
KA Bonawitz, D Piponi
US Patent 8,781,727, 2014
502014
Context aware local differential privacy
J Acharya, K Bonawitz, P Kairouz, D Ramage, Z Sun
International Conference on Machine Learning, 52-62, 2020
482020
Selection between explore mode and control mode for aerial vehicle
KA Bonawitz, J Mathe
US Patent 9,836,063, 2017
432017
Federated learning and privacy
K Bonawitz, P Kairouz, B Mcmahan, D Ramage
Communications of the ACM 65 (4), 90-97, 2022
372022
Methods and systems for determining fleet trajectories to satisfy a sequence of coverage requirements
KA Bonawitz, A Treuille
US Patent 9,014,957, 2015
332015
Methods and systems for decomposing fleet planning optimizations via spatial partitions
KA Bonawitz
US Patent 8,874,356, 2014
312014
Method and device for determining communication timing
KA Bonawitz
US Patent 9,148,215, 2015
302015
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
272021
Methods and systems for performing fleet planning based on coarse estimates of regions
K Bonawitz
US Patent 9,424,752, 2016
262016
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