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Gauri Joshi

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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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FedExP: Speeding up Federated Averaging Via Extrapolation

Jan 23, 2023
Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi

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FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning

Jul 28, 2022
Divyansh Jhunjhunwala, Pranay Sharma, Aushim Nagarkatti, Gauri Joshi

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Multi-Model Federated Learning with Provable Guarantees

Jul 17, 2022
Neelkamal Bhuyan, Sharayu Moharir, Gauri Joshi

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Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling

Jun 21, 2022
Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri

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On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data

Jun 09, 2022
Jianyu Wang, Rudrajit Das, Gauri Joshi, Satyen Kale, Zheng Xu, Tong Zhang

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Federated Learning under Distributed Concept Drift

Jun 01, 2022
Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons

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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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Federated Minimax Optimization: Improved Convergence Analyses and Algorithms

Mar 09, 2022
Pranay Sharma, Rohan Panda, Gauri Joshi, Pramod K. Varshney

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