On the Effect of Defections in Federated Learning and How to Prevent
Them

On the Effect of Defections in Federated Learning and How to Prevent Them

28 November 2023

Kumar Kshitij Patel

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Papers citing "On the Effect of Defections in Federated Learning and How to Prevent Them"

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Title
Mechanisms that Incentivize Data Sharing in Federated Learning Sai Praneeth Karimireddy Wenshuo Guo Michael I. Jordan FedML 76 49 0 10 Jul 2022
Federated Linear Contextual Bandits Ruiquan Huang Weiqiang Wu Jing Yang Cong Shen FedML 45 77 0 27 Oct 2021
FairFed: Enabling Group Fairness in Federated Learning Yahya H. Ezzeldin Shen Yan Chaoyang He Emilio Ferrara A. Avestimehr FedML 73 207 0 02 Oct 2021
Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective Ning Zhang Qian Ma Xu Chen FedML 60 52 0 22 Jun 2021
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning Avrim Blum Nika Haghtalab R. L. Phillips Han Shao FedML 51 50 0 04 Mar 2021
A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning Xinyi Xu Lingjuan Lyu FedML 118 70 0 20 Nov 2020
Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim Yehong Zhang M. Chan Hsiang Low FedML 165 125 0 24 Oct 2020
Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning Rui Hu Yanmin Gong FedML 62 63 0 11 Sep 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 259 6,276 0 10 Dec 2019
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,559 0 17 Feb 2016