WS-17: Edge Artificial Intelligence for 6G
*All times are KST (GMT+9)
| Q&A Time Friday, May 20 |
Workshop Papers | |
| 09:00-09:30 | WS 17-01-4 | Federated Generative Adversarial Networks based Channel Estimation |
| 09:30-10:00 | WS 17-01-1 | Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity |
| 10:00-10:30 | WS 17-02-1 | Learning Multi-Objective Network Optimizations |
| 10:30-11:00 | WS 17-02-2 | Computation Offloading and Resource Allocation in F-RANs: A Federated Deep Reinforcement Learning Approach |
| 11:00-11:30 | WS 17-02-3 | JMSNAS: Joint Model Split and Neural Architecture Search for Learning over Mobile Edge Networks |
| 11:30-12:00 | WS 17-01-3 | Grouped Federated Learning: A Decentralized Learning Framework with Low Latency for Heterogeneous Devices |
| 14:00-14:30 | WS 17-01-2 | Resource Consumption for Supporting Federated Learning Enabled Network Edge Intelligence |
| 14:30-15:00 | WS 17-02-4 | Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees |
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