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Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Material Type:
Artigo 		Adicionar ao Meu Espaço

Advances and Open Problems in Federated Learning

Kairouz, Peter ; McMahan, H. Brendan ; Avent, Brendan ; Bellet, Aurélien ; Bennis, Mehdi ; Nitin Bhagoji, Arjun ; Bonawitz, Kallista ; Charles, Zachary ; Cormode, Graham ; Cummings, Rachel ; D’Oliveira, Rafael G. L. ; Eichner, Hubert ; El Rouayheb, Salim ; Evans, David ; Gardner, Josh ; Garrett, Zachary ; Gascón, Adrià ; Ghazi, Badih ; Gibbons, Phillip B. ; Gruteser, Marco ; Harchaoui, Zaid ; He, Chaoyang ; He, Lie ; Huo, Zhouyuan ; Hutchinson, Ben ; Hsu, Justin ; Jaggi, Martin ; Javidi, Tara ; Joshi, Gauri ; Khodak, Mikhail ; Konecný, Jakub ; Korolova, Aleksandra ; Koushanfar, Farinaz ; Koyejo, Sanmi ; Lepoint, Tancrède ; Liu, Yang ; Mittal, Prateek ; Mohri, Mehryar ; Nock, Richard ; Özgür, Ayfer ; Pagh, Rasmus ; Qi, Hang ; Ramage, Daniel ; Raskar, Ramesh ; Raykova, Mariana ; Song, Dawn ; Song, Weikang ; Stich, Sebastian U. ; Sun, Ziteng ; Suresh, Ananda Theertha ; Tramèr, Florian ; Vepakomma, Praneeth ; Wang, Jianyu ; Xiong, Li ; Xu, Zheng ; Yang, Qiang ; Yu, Felix X. ; Yu, Han ; Zhao, Sen

Foundations and trends in machine learning, 2021-01, Vol.14 (1–2), p.1-210 [Periódico revisado por pares]

Now Publishers

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2
Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation
Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation
Material Type:
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Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation

Bagdasaryan, Eugene ; Kairouz, Peter ; Mellem, Stefan ; Gascón, Adrià ; Bonawitz, Kallista ; Estrin, Deborah ; Gruteser, Marco

Proceedings on Privacy Enhancing Technologies, 2022-10, Vol.2022 (4), p.162-182 [Periódico revisado por pares]

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3
Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation
Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation
Material Type:
Artigo 		Adicionar ao Meu Espaço

Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation

Bagdasaryan, Eugene ; Kairouz, Peter ; Mellem, Stefan ; Gascón, Adrià ; Bonawitz, Kallista ; Estrin, Deborah ; Gruteser, Marco

arXiv.org, 2022-06

Ithaca: Cornell University Library, arXiv.org

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4
Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning
Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning
Material Type:
Artigo 		Adicionar ao Meu Espaço

Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning

Zachary, Charles ; Bonawitz, Kallista ; Chiknavaryan, Stanislav ; McMahan, Brendan ; Blaise Agüera y Arcas

arXiv.org, 2022-08

Ithaca: Cornell University Library, arXiv.org

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5
Confidential Federated Computations
Confidential Federated Computations
Material Type:
Artigo 		Adicionar ao Meu Espaço

Confidential Federated Computations

Eichner, Hubert ; Ramage, Daniel ; Bonawitz, Kallista ; Huba, Dzmitry ; Santoro, Tiziano ; McLarnon, Brett ; Timon Van Overveldt ; Fallen, Nova ; Kairouz, Peter ; Cheu, Albert ; Daly, Katharine ; Gascon, Adria ; Gruteser, Marco ; McMahan, Brendan

arXiv.org, 2024-04

Ithaca: Cornell University Library, arXiv.org

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6
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Material Type:
Artigo 		Adicionar ao Meu Espaço

Advances and Open Problems in Federated Learning

Kairouz, Peter ; McMahan, H Brendan ; Avent, Brendan ; Bellet, Aurélien ; Bennis, Mehdi ; Arjun, Nitin Bhagoji ; Bonawitz, Kallista ; Zachary, Charles ; Cormode, Graham ; Cummings, Rachel ; D'Oliveira, Rafael G L ; Eichner, Hubert ; Salim El Rouayheb ; Evans, David ; Gardner, Josh ; Garrett, Zachary ; Gascón, Adrià ; Ghazi, Badih ; Gibbons, Phillip B ; Gruteser, Marco ; Harchaoui, Zaid ; He, Chaoyang ; He, Lie ; Huo, Zhouyuan ; Hutchinson, Ben ; Hsu, Justin ; Jaggi, Martin ; Javidi, Tara ; Joshi, Gauri ; Khodak, Mikhail ; Konečný, Jakub ; Korolova, Aleksandra ; Koushanfar, Farinaz ; Koyejo, Sanmi ; Lepoint, Tancrède ; Liu, Yang ; Mittal, Prateek ; Mohri, Mehryar ; Nock, Richard ; Özgür, Ayfer ; Pagh, Rasmus ; Raykova, Mariana ; Qi, Hang ; Ramage, Daniel ; Raskar, Ramesh ; Song, Dawn ; Song, Weikang ; Stich, Sebastian U ; Sun, Ziteng ; Suresh, Ananda Theertha ; Tramèr, Florian ; Praneeth Vepakomma ; Wang, Jianyu ; Li, Xiong ; Xu, Zheng ; Yang, Qiang ; Yu, Felix X ; Han, Yu ; Sen, Zhao

arXiv.org, 2021-03

Ithaca: Cornell University Library, arXiv.org

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7
Federated Learning and Privacy: Building privacy-preserving systems for machine learning and data science on decentralized data
Federated Learning and Privacy: Building privacy-preserving systems for machine learning and data science on decentralized data
Material Type:
magazinearticle 		Adicionar ao Meu Espaço

Federated Learning and Privacy: Building privacy-preserving systems for machine learning and data science on decentralized data

Bonawitz, Kallista ; Kairouz, Peter ; McMahan, Brendan ; Ramage, Daniel

ACM queue, 2021-10, Vol.19 (5), p.87-114

New York, NY, USA: ACM

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8
Federated learning and privacy
Federated learning and privacy
Material Type:
magazinearticle 		Adicionar ao Meu Espaço

Federated learning and privacy

Bonawitz, Kallista ; Kairouz, Peter ; Mcmahan, Brendan ; Ramage, Daniel

Communications of the ACM, 2022-04, Vol.65 (4), p.90-97

New York, NY, USA: ACM

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