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As a mechanism for devices to update a global model without sharing data, federated learning bridges the tension between the need for data and respect for privacy.
Privacy-preserving svm classification
Jaideep Vaidya, Hwanjo Yu, and Xiaoqian Jiang · 2008
Earlier work this paper cites.
Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil C. Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A. Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell · 2016
Earlier work this paper cites.
Communication-efficient learning of deep networks from decentralized data
Daniel Ramage Seth Hampson Blaise Aguera y Arcas H. Brendan McMahan, Eider Moore · 2017
Earlier work this paper cites.
Federated learning with non-iid data
Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, and Vikas Chandra · 2018
Cited alongside, same era.
GDPR : General Data Protection Regulation (EU) 2016/679 : post-reform personal data protection in the European Union
Mariusz Krzysztofek · 2019
Cited alongside, same era.
Advances and open problems in federated learning
Peter Kairouz, H Mcmahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Nitin Arjun, Keith Bonawitz, Charles Zachary, Graham Cormode, Rachel Cummings, Rafael D’Oliveira, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian Stich, Ziteng Sun, Ananda Suresh, Florian Tramèr, Jianyu Wang, Xiong Li, Zheng Xu, Qiang Yang, Felix Yu, Yu Han, and Zhao Sen · 2019
Cited alongside, same era.
The cifar-10 dataset
Alex Krizhevsky
Cited in the paper.
Overcoming forgetting in federated learning on non-iid data
Neta Shoham, Tomer Avidor, Aviv Keren, Nadav Israel, Daniel Benditkis, Liron Mor-Yosef, and Itai Zeitak · 2019
Later among the works it cites.
Communication-efficient and decentralized multi-task boosting while learning the collaboration graph
Valentina Zantedeschi, Aurélien Bellet, and Marc Tommasi · 2019
Later among the works it cites.
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