Advances and Open Problems in Federated Learning (Foundations and Trends® in Machine Learning)
Kairouz, Peter／McMahan, H. Brendan／Avent, Brendan／Bellet, Aurélien／Bennis, Mehdi／Bhagoji, Arjun Nitin／Bonawit, 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／Oezguer, Ayfer／Pagh, Rasmus／Qi, Hang／Ramage, Daniel／Raskar, Ramesh／Raykova, Mariana／Song, Dawn／Song, Weikang／Stich, Sebastian U.／Sun, Ziteng／Theertha Suresh, Ananda／Tramèr, Florian／Vepakomma, Praneeth／Wang, Jianyu／Xiong, Li／Xu, Zheng／Yang, Qiang／Yu, Felix X.／Yu, Han／Zhao, Sen
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