WA2b.2

On Differentially Private Federated Linear Contextual Bandits

Xingyu Zhou, Wayne State University, United States; Sayak Chowdhury, Microsoft Research, India
Session:
WA2b: Online Optimization and Dynamical Systems (Invited) Lecture
Track:
Networks
Location:
Oak Shelter
Presentation Time:
Wed, 1 Nov, 10:40 - 11:05 PT (UTC -8)
Session Co-Chairs:
Mohammad Hajiesmaili, UMass Amherst and Jinhang Zuo, UMass Amherst & Caltech
Presentation
Discussion
Resources
No resources available.
Session WA2b
WA2b.1: Understanding the Role of Feedback in Online Learning with Switching Costs
Duo Cheng, Virginia Tech, United States; Xingyu Zhou, Wayne State University, United States; Bo Ji, Virginia Tech, United States
WA2b.2: On Differentially Private Federated Linear Contextual Bandits
Xingyu Zhou, Wayne State University, United States; Sayak Chowdhury, Microsoft Research, India
WA2b.3: Learning-Augmented Decentralized Online Convex Optimization in Networks
Pengfei Li, Jianyi Yang, University of California, Riverside, United States; Adam Wierman, California Institute of Technology, United States; Shaolei Ren, University of California, Riverside, United States
WA2b.4: On Learning for Welfare Maximization with a Reusable Resource
Matthew Faw, The University of Texas at Austin, United States; Orestis Papadigenopoulos, Columbia University, United States; Constantine Caramanis, Sanjay Shakkottai, The University of Texas at Austin, United States
Contacts