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Yae Jee Cho

Heterogeneous Low-Rank Approximation for Federated Fine-tuning of On-Device Foundation Models

Jan 12, 2024
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Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels

Jul 17, 2023
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On the Convergence of Federated Averaging with Cyclic Client Participation

Feb 06, 2023
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To Federate or Not To Federate: Incentivizing Client Participation in Federated Learning

May 30, 2022
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Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning

Apr 27, 2022
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Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer

Sep 16, 2021
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Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning

Dec 14, 2020
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Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Oct 03, 2020
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