WS-13: Edge Learning for 5G Mobile Networks and Beyond
*All times are KST (GMT+9)
Q&A Time Friday, May 20 |
Workshop Papers | |
09:00-09:30 | WS 13-01-1 | Joint AMC and Resource Allocation for Mobile Wireless Networks Based on Distributed MARL |
WS 13-01-2 | Coded Caching via Federated Deep Reinforcement Learning in Fog Radio Access Networks | |
09:30-10:00 | WS 13-01-3 | A clustered learning framework for host based intrusion detection in container environment |
WS 13-01-4 | Few-Shot Learning in Wireless Networks: A Meta-Learning Model-Enabled Scheme | |
10:00-10:30 | WS 13-01-5 | Edge-distributed Coordinated Hyper-Parameter Search for Energy Saving SON Use-Case |
WS 13-01-6 | Bird's-eye View Social Distancing Analysis System | |
10:30-11:00 | WS 13-02-1 | Over-the-Air Computation for Vertical Federated Learning |
WS 13-02-2 | Wireless Federated Learning over MIMO Networks: Joint Device Scheduling and Beamforming Design | |
11:00-11:30 | WS 13-02-3 | Client Selection for Asynchronous Federated Learning with Fairness Consideration |
WS 13-02-4 | Best Effort Voting Power Control for Byzantine-resilient Federated Learning Over the Air | |
11:30-12:00 | WS 13-02-5 | Federated Learning Enabled Channel Estimation for RIS-Aided Multi-User Wireless Systems |
WS 13-02-6 | Federated Learning Cost Disparity for IoT Devices |