C-10: Machine Learning for Wireless Communications and Networking (invited) |
| Session Type: Virtual |
| Time: Wednesday, November 2, 08:00 - 09:00 |
| Location: Virtual I |
| Virtual Session: Attend on Virtual Platform |
| C-10.1: Multi-Agent Reinforcement Learning for Wireless User Scheduling: Performance, Scalablility, and Generalization |
| Kun Yang; University of Virginia |
| Donghao Li; Pennsylvania State University |
| Cong Shen; University of Virginia |
| Jing Yang; Pennsylvania State University |
| Shu-ping Yeh; Intel Labs |
| Jerry Sydir; Intel Labs |
| C-10.2: Disentangling Learnable and Memorizable Data via Contrastive Learning for Semantic Communications |
| Christina Chaccour; Virginia Tech |
| Walid Saad; Virginia Tech |
| C-10.3: Hierarchical Federated Learning in Delay Sensitive Communication Networks |
| Abdulmoneam Ali; UNC Charlotte |
| Ahmed Arafa; UNC Charlotte |
| C-10.4: On the Role of Wireless Graph Topologies in Consensus-Driven Machine Learning |
| Shahryar Zehtabi; Purdue University |
| Christopher Brinton; Purdue University |