Recently Updated
1. iMES 19
- 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
- FedFingerprinting: A Federated Learning Approach to Website Fingerprinting Attacks in Tor Networks 2023-07-26
- AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments 2022-12-22
- 기계학습 기반 토르 핑거프린팅 공격 기술의 분류 feature 중요도 비교 분석 2022-12-14
- Multi-Agent Deep Reinforcement Learning for Slicing and Admission Control in 5G C-RAN 2022-09-15
- 익명 오버레이 네트워크 공격 관련 선행연구 2022-09-02
- Admission Control for 5G Core Network Slicing Based on Deep Reinforcement Learning 2022-07-16
- Wireshark 2022-06-15
- Scaling UPF Instances in 5G/6G Core With Deep Reinforcement Learning 2022-05-31
- 익명 오버레이 네트워크 2022-04-14
- 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