Seminar by Prof. Ang Li: Enable Edge Intelligence via Scalable and Efficient Federated Learning

Room: 4105, Bldg: Brendan Iribe Center for Computer Science and Engineering, 8125 Paint Branch Dr, College Park, Maryland, United States, 20740, Virtual: https://events.vtools.ieee.org/m/391114

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. Room: 4105, Bldg: Brendan Iribe Center for Computer Science and Engineering, 8125 Paint Branch Dr, College Park, Maryland, United States, 20740, Virtual: https://events.vtools.ieee.org/m/391114

Seminar by Prof. Ang Li: Enable Edge Intelligence via Scalable and Efficient Federated Learning

Room: 4105, Bldg: Brendan Iribe Center for Computer Science and Engineering, 8125 Paint Branch Dr, College Park, Maryland, United States, 20740, Virtual: https://events.vtools.ieee.org/m/391114

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. Room: 4105, Bldg: Brendan Iribe Center for Computer Science and Engineering, 8125 Paint Branch Dr, College Park, Maryland, United States, 20740, Virtual: https://events.vtools.ieee.org/m/391114

Robot-assisted guidance and regulation

Virtual: https://events.vtools.ieee.org/m/388002

The IEEE-Robotics & Automation Society (RAS) Jt. Washington D.C. and Northern Virginia Chapter cordially invite you to attend a Distinguish Lecture (DL) seminar “Robot-assistance Guidance Regulation”. IEEE accredits this presentation for continuing education/professional development. Attendees are eligible to receive Continuing Education Units /Professional Development Hours (CEU/PDH) by attending the full duration of the presentation, completing, and submitting forms at the close of the program. Speaker(s): , Yi Guo Agenda: 15:00 – 15:05 Welcome remarks, RAS Chapter Chair 15:05 – 16:00 DL Speaker, Yi Guo, Ph.D “Robot Assistance Guidance Regulation” 16:00 – 16:10 Questions and Answers 16:10 – Closing Remarks / Adjourn Virtual: https://events.vtools.ieee.org/m/388002

Robot-assisted Guidance and Regulation

Virtual: https://events.vtools.ieee.org/m/388168

The IEEE-Robotics & Automation Society (RAS) Jt. Washington D.C. and Northern Virginia Chapter cordially invite you to attend a Distinguish Lecture (DL) seminar “Robot-assistance Guidance Regulation”. Attendees are eligible to receive Continuing Education Units /Professional Development Hours (CEU/PDH) by attending the full duration of the presentation, completing, and submitting forms at the close of the program. Speaker(s): , Yi Guo Agenda: 15:00 – 15:05 Welcome remarks, RAS Chapter Chair 15:05 – 16:00 DL Speaker, Yi Guo, Ph.D “Robot Assistance Guidance Regulation” 16:00 – 16:10 Questions and Answers 16:10 – Closing Remarks / Adjourn Virtual: https://events.vtools.ieee.org/m/388168