Bellypoly / On_simulating_energy_consumption_of_federated_learning_systems
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 over Wireless Networks: Convergence Analysis and Resource Allocation☆34Updated 3 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆36Updated last year
- ☆23Updated last year
- ☆13Updated last year
- ☆66Updated 3 years ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆33Updated last year
- Compression-based decentralized stochastic gradient descent (DSGD) algorithms tailored for digital and analog wireless implementations☆13Updated 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…☆25Updated 4 years ago
- Federated Learning over Wireless Networks☆46Updated 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
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- Code of "HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services" published on International C…☆15Updated last year
- ☆28Updated 2 years ago
- [code] "A Markovian Model for Analyzing Opportunistic Request Routing in Wireless Cache Networks" by J. Dinal Herath and Anand Seetharam.…☆10Updated 6 years ago
- Simulation Codes for “Relay-Assisted Cooperative Federated Learning”☆13Updated 3 years ago
- ☆12Updated last year
- Evaluation code of our paper in IEEE Transactions on Cognitive Communications and Networking: ''Energy-Efficient Blockchain-enabled User-…☆46Updated 2 months ago
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆41Updated last year
- ☆15Updated 2 years ago
- ☆45Updated 3 years ago
- qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing☆81Updated last year
- Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning☆19Updated 4 years ago
- Game Theory Based Distributed Resource Allocation in Communication Networks☆27Updated 4 years ago
- ☆34Updated last year
- ☆67Updated last year
- A collection for Paper/code for Wireless Communication Optimization Problems with PyTorch based DL☆25Updated 4 years ago
- The code for the paper "Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation"☆29Updated 3 years ago
- Joint Task Offloading and Radio Resource Management in Stochastic MEC Systems, IEEE Transactions on Communications, 2024☆25Updated last year
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆20Updated 3 years ago
- Mobility-Aware Proactive Edge Caching OptimizationScheme in Information-Centric IoV Networks☆21Updated 3 years ago