news

Jul 31, 2025 :partying_face: Another Exciting Milestone! :partying_face: 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! :newspaper: :chart_with_upwards_trend: 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! :rocket:
Jun 03, 2025 :partying_face: Exciting News! :partying_face: Thrilled to share that my paper as first author, titled IP-FL: Incentive-driven Personalization in Federated Learning, has been accepted at IPDPS 2025! :newspaper: :robot: A huge thank you to all my amazing co-authors from UMN and VT for their incredible support and collaboration. :raised_hands: :computer: Looking forward to presenting this work and continuing our research journey together! :rocket:
Dec 16, 2024 :sparkles: Our paper DynamicFL: Federated Learning with Dynamic Communication Resource Allocation! has been selected as the Best Paper at IEEE BigData 2024! :sparkles:
Dec 15, 2024 :sparkles: Thrilled to share some exciting news! :sparkles: :partying_face: 4 new papers on Federated Learning and LLM Sycophancy have been published in BigData’24! :newspaper: :rocket:
Feb 24, 2024 Serving on the external review committee for ATC 2024.
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! :sparkles: :smile:
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!
Oct 20, 2023 Preprint released for incentivized personalization, now available on Arxiv!
Oct 20, 2023 Paper accepted at IEEE Access, congratulations to Haider and rest of the team!
Jul 10, 2022 Paper accepted at IEEE CLOUD, Congratulations Jingoo!
Jul 01, 2022 Workshop paper accepted at IEEE BigData, kudos to Jingoo for leading this work!