Lab Seminar 14

• Machine Learning-Based Scaling Management for Kubernetes Edge Clusters 2024-06-19
• A Concurrent Federated Reinforcement Learning for IoT Resources Allocation With Local Differential Privacy 2024-05-02
• AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments 2022-12-22
• Multi-Agent Deep Reinforcement Learning for Slicing and Admission Control in 5G C-RAN 2022-09-15
• Admission Control for 5G Core Network Slicing Based on Deep Reinforcement Learning 2022-07-16
• Scaling UPF Instances in 5G/6G Core With Deep Reinforcement Learning 2022-05-31
• Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing 2022-03-03
• Pluto: High-Performance IoT-Aware Stream Processing 2021-12-17
• Marauder: Synergized Caching and Prefetching for Low-Risk Mobile App Acceleration 2021-08-11
• Audio and Video Mixing Method to Enhance WebRTC 2021-05-26
• EdgeProg: Edge-centric Programming for IoT Applications 2021-03-19
• Edge Assisted Real-time Object Detection for Mobile Augmented Reality 2021-02-17
• MPBond: Efficient Network-level Collaboration Among Personal Mobile Devices 2021-01-21
• PBE-CC: Congestion Control via Endpoint-Centric, Physical-Layer Bandwidth Measurement 2020-11-26