MA3b.3

Learning for Online Competitive Control with Policy Priors

Jianyi Yang, University of California, Riverside, United States; Tongxin Li, Chinese University of Hong Kong (Shenzhen), China; Pengfei Li, University of California, Riverside, United States; Adam Wierman, California Institute of Technology, United States; Shaolei Ren, University of California, Riverside, United States
Session:
MA3b: Edge Computing and Learning (Invited) Lecture
Track:
Networks
Location:
Scripps
Presentation Time:
Mon, 30 Oct, 11:05 - 11:30 PT (UTC -7)
Session Chair:
Jie Xu, University of Miami
Presentation
Discussion
Resources
No resources available.
Session MA3b
MA3b.1: Mobility-assisted Federated Learning for Vehicular Edge Computing
Jieming Bian, Jie Xu, University of Miami, United States
MA3b.2: Orchestration of Dynamic Federated Split Learning with Early-Exit in Edge Computing Systems
Yashuo Wu, University of California, Irvine, United States; Chetna Singhal, RI.SE, Sweden, Sweden; Federico Malandrino, CNR-IEIIT, Italy; Carla Fabiana Chiasserini, Politecnico di Torino, Italy; Marco Levorato, University of California, Irvine, United States
MA3b.3: Learning for Online Competitive Control with Policy Priors
Jianyi Yang, University of California, Riverside, United States; Tongxin Li, Chinese University of Hong Kong (Shenzhen), China; Pengfei Li, University of California, Riverside, United States; Adam Wierman, California Institute of Technology, United States; Shaolei Ren, University of California, Riverside, United States
MA3b.4: Heterogeneous Delayed Model Averaging for Federated Learning---Extended Abstract
Dongsheng Li, Xiaowen Gong, Auburn University, United States
Contacts