MP6b2: Machine Learning for Communication Systems (Invited)
Mon, 30 Oct, 15:30 - 17:35 PT (UTC -8)
Location: Kiln
Session Type: Poster
Session Chair: Cong Shen, University of Virginia
Track: Networks

MP6b2.1: Edge-Alloc: Mobility Focused Multi-Armed Bandit for Edge Computing
Taejin Kim, Carnegie Mellon University, United States; Jinhang Zuo, University of Massachusetts Amherst/California Institute of Technology, United States; Carlee Joe-Wong, Carnegie Mellon University, United States

MP6b2.2: Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets
Kun Yang, Cong Shen, Univeristy of Virginia, United States; Jing Yang, The Pennsylvania State University, United States; Shu-ping Yeh, Jerry Sydir, Intel Corporation, United States

MP6b2.3: Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning
Fatemeh Lotfi, Fatemeh Afghah, Clemson University, United States

MP6b2.4: Time-Varying Noise Perturbation and Power Control for Differential-Privacy-Preserving Wireless Federated Learning
Dang Qua Nguyen, Taejoon Kim, University of Kansas, United States