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Gauri Joshi

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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* Accepted to UAI 2022

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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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* 69 pages, 1 figure, accepted to ICML 2022 for long presentation

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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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* 18 pages. Submitted to NeurIPS 2022

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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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Federated Minimax Optimization: Improved Convergence Analyses and Algorithms

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

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* 52 pages, 4 figures

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