MA4a: Machine Learning for Communications and Networking
Mon, 27 Oct, 08:15 - 09:55 PT (UTC -8)
Location: Nautilus
Session Type: Lecture
Session Chair: Zhongyuan Zhao, Rice University
Track: Adaptive Systems, Machine Learning, and Data Analytics
Mon, 27 Oct, 08:15 - 08:40 PT (UTC -8)

MA4a.1: Accelerated Generative Multi-Agent Q-Learning for Wireless Networks
Ruveyda Menevse, Talha Bozkus, Urbashi Mitra, University of Southern California, United States
Mon, 27 Oct, 08:40 - 09:05 PT (UTC -8)

MA4a.2: A Differentiable Digital Twin of Distributed Link Scheduling for Contention-Aware Networking
Zhongyuan Zhao, Yujun Ming, Rice University, United States; Kevin Chan, Ananthram Swami, DEVCOM Army Research Laboratory, United States; Santiago Segarra, Rice University, United States
Mon, 27 Oct, 09:05 - 09:30 PT (UTC -8)

MA4a.3: Efficient Multi-Worker Selection Based Distributed Swarm Learning via Analog Aggregation
Zhuoyu Yao, Yue Wang, Georgia State University, United States; Songyang Zhang, University of Louisiana at Lafayette, United States; Yingshu Li, Zhipeng Cai, Zhi Tian, Georgia State University, United States
Mon, 27 Oct, 09:30 - 09:55 PT (UTC -8)

MA4a.4: Residual Diffusion Models for Joint Source Channel Coding of MIMO CSI
Sravan Ankireddy, Heasung Kim, Hyeji Kim, University of Texas at Austin, United States