Jul 31, 2025 |
Another Exciting Milestone!
Thrilled to share that my paper as first author, FLStore: A Cache for Non-Training Workloads in Federated Learning, has been accepted at MLSys 2025!
A huge thank you to my incredible collaborators for their support and contributions. Looking forward to presenting this work and engaging in discussions at MLSys’25!
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Jun 03, 2025 |
Exciting News!
Thrilled to share that my paper as first author, titled IP-FL: Incentive-driven Personalization in Federated Learning, has been accepted at IPDPS 2025!
A huge thank you to all my amazing co-authors from UMN and VT for their incredible support and collaboration.
Looking forward to presenting this work and continuing our research journey together!
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Dec 16, 2024 |
Our paper DynamicFL: Federated Learning with Dynamic Communication Resource Allocation! has been selected as the Best Paper at IEEE BigData 2024!
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Dec 15, 2024 |
Thrilled to share some exciting news!
4 new papers on Federated Learning and LLM Sycophancy have been published in BigData’24!
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Feb 24, 2024 |
Serving on the external review committee for ATC 2024.
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Feb 07, 2024 |
Thrilled to announce my paper has been accepted as the first author in EuroSys’24. A big shout-out to my co-authors Azal, Sam, and our team for the collaboration!
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Oct 27, 2023 |
Excited to share that our paper, with me as the lead author, has been accepted for publication at IEEE BigData’24. Immense gratitude to my co-authors Yuze and Xinran for their invaluable contributions!
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Oct 20, 2023 |
Preprint released for incentivized personalization, now available on Arxiv!
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Oct 20, 2023 |
Paper accepted at IEEE Access, congratulations to Haider and rest of the team!
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Jul 10, 2022 |
Paper accepted at IEEE CLOUD, Congratulations Jingoo!
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Jul 01, 2022 |
Workshop paper accepted at IEEE BigData, kudos to Jingoo for leading this work!
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