Bellypoly / On_simulating_energy_consumption_of_federated_learning_systemsLinks
A simulation of energy consumption of a federated learning system based on the non-orthogonal multiple access (NOMA) transmission protocols, proposed by Mo et. al. Energy consumption is computed during training along with energy consumed by communications between local machines and the server.
☆28Updated 4 years ago
Alternatives and similar repositories for On_simulating_energy_consumption_of_federated_learning_systems
Users that are interested in On_simulating_energy_consumption_of_federated_learning_systems are comparing it to the libraries listed below
Sorting:
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆36Updated 4 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆35Updated last year
- ☆25Updated last year
- ☆66Updated 4 years ago
- ☆13Updated 2 years ago
- Apply Deep Reinforcement Learning aided by Federated Learning to Wireless Comunication☆119Updated 4 years ago
- ☆45Updated 3 years ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆35Updated last year
- Evaluation code of our paper in IEEE Transactions on Cognitive Communications and Networking: ''Energy-Efficient Blockchain-enabled User-…☆48Updated 6 months ago
- ☆29Updated 2 years ago
- Federated Learning over Wireless Networks☆46Updated 4 years ago
- Code for paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"☆61Updated 2 years ago
- qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing☆85Updated 2 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
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Updated 4 years ago
- part code of paper entitled "battery-constrained federated edge learning in uav-enabled iot for b5g/6g networks"☆23Updated 4 years ago
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- ☆73Updated 2 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆76Updated 2 years ago
- ☆43Updated 2 years ago
- ☆80Updated 2 years ago
- This project is the implementation of the research paper titled "Dynamic Request Scheduling Optimization in Mobile Edge Computing for IoT…☆87Updated 4 years ago
- Code for paper "Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process"☆62Updated 5 years ago
- Simulation Codes for “Relay-Assisted Cooperative Federated Learning”☆13Updated 3 years ago
- This is the code for paper "Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforce…☆28Updated 4 years ago
- Energy-Spectral Efficiency Optimization in Vehicular Communications: Joint Clustering and Pricing-based Robust Power Control Approach☆13Updated 5 years ago
- Game Theory Based Distributed Resource Allocation in Communication Networks☆27Updated 4 years ago
- ☆15Updated last year
- Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.☆121Updated 4 years ago
- Deep Neural Network for Computation Rate Maximization in Wireless Powered Mobile-Edge Computing System☆55Updated 6 years ago