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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This Matlab package solves federated learning problems via gradient descent and inexact ADMM☆13Dec 19, 2024Updated last year
- Compression-based decentralized stochastic gradient descent (DSGD) algorithms tailored for digital and analog wireless implementations☆13Jun 26, 2022Updated 3 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆35Apr 22, 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
- Numerical Simulation of an UAV-NOMA System.☆55Oct 19, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆21Aug 6, 2021Updated 4 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
- UAV-DETECT CODE☆10May 10, 2022Updated 3 years ago
- Source code for AdaptSky paper☆11Jan 1, 2023Updated 3 years ago
- ☆25Nov 10, 2023Updated 2 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 2 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 7 years ago
- Joint Power Control and Link Scheduling of a Wireless Network☆15Feb 26, 2016Updated 10 years ago
- Code for Horizontal Federated Learning blog around Credit Scoring☆10Sep 14, 2020Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- In this repository, all the Matlab codes, used for developing my Master Thesis: "Polynomial Chaos Theory: Application to the stability of…☆15Feb 14, 2019Updated 7 years ago
- Migration of Edge-based Distributed Federated Learning☆25Nov 18, 2022Updated 3 years ago
- This is the code for paper "Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforce…☆29Apr 3, 2021Updated 5 years ago
- The Quadratic Primal-Dual Optimizer☆13May 13, 2024Updated last year
- A repository for a Deep Q-Learning approach to intrusion detection for networks cyber-attacks.☆10Sep 3, 2021Updated 4 years ago
- Hover a UAV in MATLAB using Deep Reinforcement Learning.☆18Oct 30, 2023Updated 2 years ago
- Evaluation code of our paper in IEEE Transactions on Vehicular Technology: ''Joint Transmission and Resource Optimization in NOMA-assiste…☆80Mar 15, 2025Updated last year
- ☆12Jul 2, 2018Updated 7 years ago
- Code: TPAMI2020-Truncated Robust Principle Component Analysis with A General Optimization Framework"☆12Nov 27, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- 这是一款适用于Ubuntu(基于12.04)系统的操作系统测评软件，名为乐测评， 主 要对系统进行如下六个方面的性能检测：CPU、内存、磁盘&IO、网络、开机速度、系统安全，软硬件方面都会进行较全面的检测。每个方面先检测操作系统基本信息，让用户对自己的系统有个基本了解。然后…☆17Mar 25, 2017Updated 9 years ago
- Implemented a basic 802.11 OFDM PHY layer, including packet detection, synchronization, channel estimation, modulation and demodulation☆14Nov 4, 2023Updated 2 years ago
- Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization☆10Jan 18, 2017Updated 9 years ago
- Simulation tool for CDN replication in large low-earth orbit satellite access networks.☆13May 17, 2021Updated 4 years ago
- CNN-Based Resource Allocation for Energy-Efficient D2D Communications☆36Aug 20, 2020Updated 5 years ago
- ☆10Jan 31, 2022Updated 4 years ago
- Resource allocation for Device-to-Device (D2D) communications using deep reinforcement learning.☆38May 17, 2020Updated 5 years ago
- Adaptive Decoding Mechanisms for UAV-enabled Double-Uplink Coordinated NOMA, IEEE Transactions on Vehicular Technology, Mar. 2023☆21Apr 8, 2023Updated 3 years ago
- ☆15Dec 9, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Parallel training on multiple Deep RL agents with Federated Learning approach to gain higher rewards☆35Sep 1, 2022Updated 3 years ago
- Code for generating Resource Orchestration in UAV-assisted NOMA Wireless Networks: A Labor Economics Perspective paper's simulation envir…☆14Feb 16, 2023Updated 3 years ago
- FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks☆42Sep 19, 2023Updated 2 years ago
- Maximum likelihood sequence estimation (MLSE) using the Viterbi algorithm☆18Feb 5, 2021Updated 5 years ago
- Multi-device support module for SoapySDR☆16Oct 15, 2025Updated 6 months ago
- Admission Control and Resource Allocation mechanism for 5G Core Network Slicing based on Reinforcement Learning and Deep Learning☆46Jul 7, 2022Updated 3 years ago
- CADGMM (PAKDD2020)☆11Jan 2, 2021Updated 5 years ago