Bellypoly / On_simulating_energy_consumption_of_federated_learning_systemsView external linksLinks
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.
☆29Dec 30, 2020Updated 5 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:
- This Matlab package solves federated learning problems via gradient descent and inexact ADMM☆13Dec 19, 2024Updated last year
- This is a repository for the implementation of the paper "Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient…☆14Jul 1, 2023Updated 2 years ago
- Non-orthogonal multiple access (NOMA) is a promising technique for the fifth generation (5G) wireless communications. As users with good …☆16May 25, 2021Updated 4 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆35Apr 22, 2024Updated last year
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆21Aug 6, 2021Updated 4 years ago
- ☆25Nov 10, 2023Updated 2 years ago
- MatLab code using PSO (Particle Swarm Optimization) to minimize power losses and voltage deviation by optimally placing and sizing DG☆11Feb 11, 2023Updated 3 years ago
- Migration of Edge-based Distributed Federated Learning☆25Nov 18, 2022Updated 3 years ago
- This repository includes the source code of the CNN-based channel estimators proposed in "CNN Aided Weighted Interpolation for Channel Es…☆32Mar 19, 2024Updated last year
- A repository for a Deep Q-Learning approach to intrusion detection for networks cyber-attacks.☆10Sep 3, 2021Updated 4 years ago
- CNN-Based Resource Allocation for Energy-Efficient D2D Communications☆37Aug 20, 2020Updated 5 years ago
- Parallel training on multiple Deep RL agents with Federated Learning approach to gain higher rewards☆35Sep 1, 2022Updated 3 years ago
- Evaluation code of our paper in IEEE Transactions on Vehicular Technology: ''Joint Transmission and Resource Optimization in NOMA-assiste…☆80Mar 15, 2025Updated 10 months ago
- Resource allocation for Device-to-Device (D2D) communications using deep reinforcement learning.☆38May 17, 2020Updated 5 years ago
- ☆39Dec 8, 2022Updated 3 years ago
- Code: TPAMI2020-Truncated Robust Principle Component Analysis with A General Optimization Framework"☆12Nov 27, 2022Updated 3 years ago
- Source code for AdaptSky paper☆11Jan 1, 2023Updated 3 years ago
- This is source code of our Master Thesis on "Decode and Forward Relay Assisting Active Jamming in NOMA system".☆12Feb 26, 2024Updated last year
- 使用多头注意力机制实现数字预测☆10May 10, 2022Updated 3 years ago
- Code implementation of “Flexible Coordination of Wind Generators and Energy Storages in joint Energy and Frequency Regulation Market“☆11Sep 26, 2023Updated 2 years ago
- This repo contains scientific models for simulating potential application of improved metaheuristic algorithms in real time optimization …☆12Nov 23, 2022Updated 3 years ago
- UAV-DETECT CODE☆10May 10, 2022Updated 3 years ago
- FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks☆42Sep 19, 2023Updated 2 years ago
- Efficient IoT Devices/AP Localization Through Wi-Fi CSI Feature Fusion and Anomaly Detection☆20Jul 10, 2024Updated last year
- ☆10May 6, 2025Updated 9 months ago
- CodeQUEST is a generalizable framework which leverages LLMs to iteratively evaluate and enhance code quality across multiple dimensions f…☆16Dec 23, 2025Updated last month
- Smart Grid State Estimation with PMUs TimeSynchronization Errors☆12Dec 1, 2020Updated 5 years ago
- Implementation for Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimiz…☆11Mar 22, 2023Updated 2 years ago
- ☆12Dec 4, 2022Updated 3 years ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Nov 19, 2021Updated 4 years ago
- [code] "A Markovian Model for Analyzing Opportunistic Request Routing in Wireless Cache Networks" by J. Dinal Herath and Anand Seetharam.…☆10Feb 27, 2019Updated 6 years ago
- MATLAB implementation of the paper "Distributed Optimization of Average Consensus Containment with Multiple Stationary Leaders" [arXiv 20…☆15Aug 9, 2022Updated 3 years ago
- Blockchain federated learning simulate by python☆10May 29, 2023Updated 2 years ago
- An Open-Source Simulation Framework for WiFi-CSI-Based Multi-Robot Localization Systems. Code and setup files☆12Sep 9, 2024Updated last year
- Federated principal component analysis (FPCA) is my master thesis, which aims to adapt PCA in a federated learning setting. The technique…☆11Apr 5, 2024Updated last year
- Time Series☆15Nov 15, 2019Updated 6 years ago
- Material from Power System Transients course taught in Fall 2020.☆13Jun 6, 2025Updated 8 months ago
- Matlab scripts for the paper "Machine Learning meets Stochastic Geometry: Determinantal Subset Selection for Wireless Networks"☆12May 4, 2019Updated 6 years ago
- Realize The Automation of UAV Cluster by Reinforcement Learning Approach☆12May 21, 2018Updated 7 years ago