ttt-perfect Goto Github PK

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ACO plus Lagrange; NP problem.

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This repository contains the coding materials to reproduce the learning error curves of the paper "How Does Data Freshness Affect Real-time Supervised Learning ?".

a-novel-approach-for-service-function-chain-sfc-mapping-with-multiple-sfc-instances-paper

This code simulate effect of using edge computing for NFV.

adaptive-energy-minimized-scheduling-of-real-time-applications-in-vehicular-edge-computing

adaptive-federated-learning

论文代码“资源受限边缘计算系统中的自适应联合学习”

algodeployment

论文-Online Deployment Algorithms for Microservice Systems with Complex Dependencies

awesome-edge-computing

A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.

awesome-federated-machine-learning

关于联合学习的一切，包括研究论文、书籍、代码、教程、视频等

clash_for_windows_pkg

A Windows/macOS GUI based on Clash

cloudsimsdn

CloudSimSDN is an SDN extension of CloudSim project to simulate SDN and SFC features in the context of a cloud data center.

cs-self-learning

计算机自学指南

deua

A Decentralized Collaborative Approach for Online Edge User Allocation

disco-tpds-

dynamic-request-scheduling-optimization-in-mobile-edge-computing-for-iot-applications

This project is the implementation of the research paper titled "Dynamic Request Scheduling Optimization in Mobile Edge Computing for IoT Applications"

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

edge-computing-codes

Simulation of algorithms for Edge Computing-related papers.

edge-computing-dataset

MEC，Edge service, Edge Application, Service Computing.

edgecloudsim

EdgeCloudSim: An Environment for Performance Evaluation of Edge Computing Systems

edgetranslate

A translation extension.

eua-dataset

Edge server, user dataset for Edge Computing research

fedda

Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'

federated-learning-

联邦学习

federated-learning-faq

federated-learning-master

flsim-fl

A simulation framework for Federated Learning written in PyTorch

fpca--

Federated principal component analysis (FPCA) is my master thesis, which aims to adapt PCA in a federated learning setting. The technique is realized with the assistance of an optimization algorithm ADMM.

gfl

Galaxy Federated Learning Framework （星际联邦学习框架）

heteroedge

integerprogexperiment

线性规划课程实验——整数规划问题的求解方法

lassoadmm

Source code for our paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"