Abstract: Over the past fifteen years, my research interests have gradually transitioned from wireless networks to distributed algorithms, with a recent emphasis on distributed optimization/learning. In this talk, I will discuss how I ended up making this transition between apparently disconnected and disparate areas, and provide an overview of some of the new problems (and solutions) we were able to define along the way, including resilient consensus and fault-tolerant optimization.
Bio: Nitin H. Vaidya is the McDevitt Chair of Computer Science at Georgetown University. He received his Ph.D. from the University of Massachusetts at Amherst. He previously served as a Professor and Associate Head in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. He has co-authored papers that received awards at several conferences, including 2023 ICDCN, 2015 SSS, 2007 ACM MobiHoc and 1998 ACM MobiCom. He is a fellow of the IEEE. He has served as the Chair of the Steering Committee for the ACM PODC conference, as the Editor-in-Chief for the IEEE Transactions on Mobile Computing, and as the Editor-in-Chief for ACM SIGMOBILE publication MC2R.
