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[Sept. 2023] Our paper on federated domain generalization has been accepted to NeurIPS 2023!
[Jul. 2023] We are organizing the Workshop on Federated Learning in the Age of Foundation Models at NeurIPS 2023. Submissions are welcome!
[Jul. 2023] Received the IBM Culture Catalyst Award for promoting growth-oriented team culture.
[Jun. 2023] Received the IBM Outstanding Technical Achievement Award (OTAA) for “Edge AI SDK science output, client validation, and revenue impact”.
[May 2023] Invited to serve as area chair for AAAI 2024.
[Apr. 2023] We are organizing the Workshop on Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities at ICML 2023. Submissions are welcome!
[Apr. 2023] Our paper on feature selection in vertical federated learning has been accepted to ICML 2023. Congratulations especially to my excellent student collaborator Timothy Castiglia who recently passed his PhD defense!
[Apr. 2023] Our paper on incentivizing federated learning has been accepted to ICDCS 2023 (Track on AI for Distributed Systems and Distributed Systems for AI). Congratulations especially to Bing Luo who started collaborating with me when he was a visiting PhD student at Yale University!
[Feb. 2023] Our paper on uncertainty attribution has been accepted to CVPR 2023. Congratulations especially to my student collaborator Hanjing Wang!
[Jan. 2023] Our paper on speeding up federated averaging via extrapolation has been accepted to ICLR 2023 as spotlight – notable-top-25%. Congratulations especially to my intern Divyansh Jhunjhunwala!
[Dec. 2022] Serving as Chair of Edge Computing track at ICDCS 2023. Submissions are welcome!
[Dec. 2022] Our paper on federated learning with flexible control has been accepted to INFOCOM 2023!
[Oct. 2022] Recognized as Top Reviewer of NeurIPS 2022 (top 11%).
[Sept. 2022] Our paper on federated learning with arbitrary client participation has been accepted to NeurIPS 2022!
[Aug. 2022] Organizing the Workshop on Federated Learning: Recent Advances and New Challenges @ NeurIPS 2022. Submissions are welcome!
[Jul. 2022] Recognized as Outstanding Reviewer of ICML 2022 (top 10%).
[Jul. 2022] Serving on the steering committee of the AIChallengeIoT Workshop @ SenSys 2022. This is the 4th edition of the workshop that we started in 2019. Submissions are welcome!
[May 2022] Received the IBM Outstanding Technical Achievement Award (OTAA) for “Scientific Contributions, Collaboration and Leadership in Federated Learning at the Edge”.
[May 2022] Our paper on compressed vertical federated learning has been accepted to ICML 2022. Congratulations especially to my student collaborators Timothy Castiglia and Anirban Das!
[May 2022] Paper on tiered decentralized coordinate descent accepted to ACM TIST.
[Apr. 2022] Recognized as Highlighted Reviewer of ICLR 2022 (top 9%).
[Apr. 2022] Our PruneFL paper has been accepted to IEEE TNNLS. Congratulations to my former intern Yuang Jiang and all collaborators!
[Jan. 2022] Appointed as associate editor of IEEE TPDS. Submissions are welcome!
[Dec. 2021] Received the IEEE Communications Society Best Young Professional Award in Industry for the pioneering and foundational contributions to workload scheduling and machine learning in edge computing!
[Dec. 2021] Two papers on federated learning at the edge accepted to INFOCOM 2022.
[Dec. 2021] Two papers, one on hierarchical SGD and the other on graph neural networks, accepted to AAAI 2022.
[Oct. 2021] Our project on “Secure and Robust Cross-Silo Vertical Federated Learning” got funded by the Rensselaer-IBM AIRC program, starting in 2022. Looking forward to the exciting research ahead!
[Sept. 2021] Our work on federated learning in edge computing systems has been recognized in the DAIS ITA Awards for cross-national collaboration, scientific discovery/quality, and commercial prosperity. My former intern Tiffany Tuor has also been recognized for outstanding student-led achievement. Congratulations!
[Sept. 2021] Sharing my professional and personal experience at the virtual Alumni Day of the Communications and Signal Processing (CSP) group at Imperial College London. Happy to see many familiar and new faces!
[Aug. 2021] Giving an invited talk at the Workshop on Federated and Transfer Learning for Data Sparsity and Confidentiality @ IJCAI 2021.
[Jul. 2021] Organizing the Workshop on Federated Learning for User Privacy and Data Confidentiality @ ICML 2021.
[Jul. 2021] Invited to serve as area chair for AAAI 2022.
[Jul. 2021] Recognized as Best Reviewer of ICML 2021 (top 10%).
[Jun. 2021] Received the IEEE ComSoc Leonard G. Abraham Prize for our adaptive federated learning paper that pioneered the research at the intersection of federated learning and edge computing!