jjzgeeks / FedAECSLinks
Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing
☆35Updated last year
Alternatives and similar repositories for FedAECS
Users that are interested in FedAECS are comparing it to the libraries listed below
Sorting:
- ☆13Updated 2 years ago
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆36Updated 4 years ago
- qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing☆87Updated 2 years ago
- A simulation of energy consumption of a federated learning system based on the non-orthogonal multiple access (NOMA) transmission protoco…☆28Updated 5 years ago
- ☆74Updated 2 years ago
- Migration of Edge-based Distributed Federated Learning☆25Updated 3 years ago
- ☆30Updated 2 years ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆36Updated last year
- ☆25Updated 2 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆95Updated 3 years ago
- ☆89Updated 2 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆76Updated 3 years ago
- Evaluation code of our paper in IEEE Transactions on Cognitive Communications and Networking: ''Energy-Efficient Blockchain-enabled User-…☆48Updated 9 months ago
- ☆45Updated 4 years ago
- ☆10Updated 4 years ago
- Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…☆26Updated 4 years ago
- ☆11Updated 2 years ago
- Mobility-Aware Proactive Edge Caching OptimizationScheme in Information-Centric IoV Networks☆21Updated 3 years ago
- Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.☆123Updated 5 years ago
- Flexible resource allocation for edge cloud computing with reinforcement learning☆38Updated 5 years ago
- Code for paper "Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process"☆63Updated 5 years ago
- This paper has been accepted by IEEE MASS 2022.☆15Updated 2 years ago
- ☆46Updated 2 years ago
- Implementation of submitted papers about Mobile Edge Computing (MEC).☆54Updated 7 years ago
- ☆14Updated 2 years ago
- Apply Deep Reinforcement Learning aided by Federated Learning to Wireless Comunication☆121Updated 4 years ago
- ☆40Updated 3 years ago
- Deep Neural Network for Computation Rate Maximization in Wireless Powered Mobile-Edge Computing System☆56Updated 6 years ago
- Deep Reinforcement Learning for Offloading and Resource Allocation in Vehicle Edge Computing and Networks☆19Updated 3 years ago
- part code of paper entitled "battery-constrained federated edge learning in uav-enabled iot for b5g/6g networks"☆26Updated 4 years ago