Seminar by Prof. Ang Li: Enable Edge Intelligence via Scalable and Efficient Federated Learning
The proliferation of edge devices and the gigantic amount of data they generate are distributed everywhere. Such distributed data fuel the intelligence at the edge where data reside. In this talk, I will present our research on how to enable intelligence on large-scale edge devices by leveraging the power of federated learning. In particular, I present our recent works on jointly optimizing the communication and computation cost of federated learning, personalization of federated learning, and automated hyperparameter optimization in federated learning. Additionally, I will also discuss the challenges and opportunities of federated learning in the era of large Al models.
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- Date: 19 Dec 2023
- Time: 11:00 AM to 11:59 AM
- All times are (UTC-05:00) Eastern Time (US & Canada)
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- 8125 Paint Branch Dr
- College Park, Maryland
- United States 20740
- Building: Brendan Iribe Center for Computer Science and Engineering
- Room Number: 4105
Speakers
Prof. Ang Li
Ang Li is an Assistant professor in the Department of Electrical and Computer Engineering at the University of Maryland College Park. Before joining UMD, he was a research associate at Qualcomm Al Research. He received Ph.D. in Electrical and Computer Engineering from Duke University in 2022. His research interests lie in the intersection of machine learning and edge computing, with a focus on building large-scale networked and efficient intelligent systems. His research has been recognized with a variety of awards, including the IEEE TCCPS Outstanding Ph.D. Dissertation Award, ACM KDD Best Student Paper Award in 2020, and the 2022 Duke ECE Department Outstanding Dissertation Award.
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