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On the Convergence of Federated Averaging with Cyclic Client Participation


Feb 06, 2023
Yae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu, Satyen Kale, Tong Zhang

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To Federate or Not To Federate: Incentivizing Client Participation in Federated Learning


May 30, 2022
Yae Jee Cho, Divyansh Jhunjhunwala, Tian Li, Virginia Smith, Gauri Joshi

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Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning


Apr 27, 2022
Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis

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* To appear in the proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022) 

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Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer


Sep 16, 2021
Yae Jee Cho, Jianyu Wang, Tarun Chiruvolu, Gauri Joshi

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Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning


Dec 14, 2020
Yae Jee Cho, Samarth Gupta, Gauri Joshi, Osman Yağan

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Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies


Oct 03, 2020
Yae Jee Cho, Jianyu Wang, Gauri Joshi

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