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.
☆27Updated 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 for Energy-balanced Client Selection in Mobile Edge Computing☆35Updated last year
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆35Updated 3 years ago
- ☆13Updated last year
- 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
- ☆25Updated last year
- Federated Learning over Wireless Networks☆46Updated 3 years ago
- ☆66Updated 3 years ago
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆33Updated last year
- Code of "HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services" published on International C…☆15Updated last year
- Compression-based decentralized stochastic gradient descent (DSGD) algorithms tailored for digital and analog wireless implementations☆13Updated 3 years ago
- ☆16Updated 2 years ago
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆43Updated last year
- paper: GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems, to appear in IEEE TWC☆9Updated last year
- ☆14Updated last year
- ☆45Updated 3 years ago
- The code for the paper "Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation"☆29Updated 3 years ago
- part code of paper entitled "battery-constrained federated edge learning in uav-enabled iot for b5g/6g networks"☆21Updated 3 years ago
- SFedChain: blockchain-based federated learning scheme for secure data sharing in distributed energy storage networks☆13Updated 3 years ago
- ☆28Updated 2 years ago
- We will implement this framework.☆32Updated 3 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Updated 4 years ago
- Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning☆19Updated 4 years ago
- Apply Deep Reinforcement Learning aided by Federated Learning to Wireless Comunication☆116Updated 4 years ago
- Evaluation code of our paper in IEEE Transactions on Cognitive Communications and Networking: ''Energy-Efficient Blockchain-enabled User-…☆46Updated 3 months ago
- Federated Reinforcement Learning project☆28Updated 2 years ago
- Welcome to FLSim_V2, a PyTorch based federated Reinforcement learning simulation framework☆10Updated 2 years ago
- qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing☆81Updated 2 years ago
- This paper has been accepted by IEEE MASS 2022.☆15Updated last year
- ☆10Updated 6 months ago