Divyansh Jhunjhunwala 个人学术档案

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Gauri JoshiCarnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Advait GadhikarPhD student at CISPA在 cispa.de 的电子邮件经过验证
Yonina EldarMath and Computer Science, Weizmann在 weizmann.ac.il 的电子邮件经过验证
Pranay SharmaPostdoctoral Researcher, Carnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Ankur MallickMicrosoft在 microsoft.com 的电子邮件经过验证
Swanand R. KadheIBM Research在 ibm.com 的电子邮件经过验证
Yae Jee ChoCarnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Virginia SmithCarnegie Mellon University在 cmu.edu 的电子邮件经过验证
Tian LiCarnegie Mellon University在 cmu.edu 的电子邮件经过验证
Shiqiang WangIBM T. J. Watson Research Center在 us.ibm.com 的电子邮件经过验证

Divyansh Jhunjhunwala

在 andrew.cmu.edu 的电子邮件经过验证


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Adaptive quantization of model updates for communication-efficient federated learning D Jhunjhunwala, A Gadhikar, G Joshi, YC Eldar ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021	50	2021
FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning D Jhunjhunwala, P Sharma, A Nagarkatti, G Joshi Uncertainty in Artificial Intelligence, 906-916, 2022	15	2022
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation D Jhunjhunwala, A Mallick, A Gadhikar, S Kadhe, G Joshi Advances in Neural Information Processing Systems (NeurIPS) 2021, 2021	7	2021
To federate or not to federate: Incentivizing client participation in federated learning YJ Cho, D Jhunjhunwala, T Li, V Smith, G Joshi arXiv preprint arXiv:2205.14840, 2022	6	2022
FedExP: Speeding up Federated Averaging Via Extrapolation D Jhunjhunwala, S Wang, G Joshi International Conference of Learning Representations (ICLR), 2023, 2023	2	2023
Towards a Theoretical and Practical Understanding of One-Shot Federated Learning with Fisher Information D Jhunjhunwala, S Wang, G Joshi International Conference on Machine Learning, 2023		2023

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