Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM)
on Horizontally Partitioned Data from Distributed Sources

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Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources

28 September 2021

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Papers citing "Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources"

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Title
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning Jinhyun So Chaoyang He Chien-Sheng Yang Songze Li Qian-long Yu Ramy E. Ali Başak Güler Salman Avestimehr FedML 116 179 0 29 Sep 2021
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption Dimitris Stripelis Hamza Saleem Tanmay Ghai Nikhil J. Dhinagar Umang Gupta ... Greg Ver Steeg Yu Yang Muhammad Naveed Paul M. Thompson J. Ambite FedML 135 55 0 07 Aug 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 106 224 0 14 Jan 2021
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 230 331 0 19 Mar 2020
Federated Learning with Autotuned Communication-Efficient Secure Aggregation Keith Bonawitz Fariborz Salehi Jakub Konecný H. B. McMahan Marco Gruteser FedML 83 74 0 30 Nov 2019