Alternatives and similar repositories for SFL-workflow-optimization:

Users that are interested in SFL-workflow-optimization are comparing it to the libraries listed below

• Sofianebouaziz1 / FLASH-RL
  FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…
  ☆40Updated 11 months ago
• ricsamikwa / RES-Things
  Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems
  ☆13Updated last year
• lyl617 / AAFL
  ☆11Updated 4 years ago
• HongdaWu1226 / FedPNS
  ☆30Updated 2 years ago
• CharlieDinh / FEDL_pytorch
  This repository implements FEDL using pytorch
  ☆54Updated 4 years ago
• nhatminh / FEDL-INFOCOM
  Federated Learning over Wireless Networks
  ☆46Updated 3 years ago
• garrisongys / SplitFed
  ☆20Updated 3 years ago
• CharlieDinh / FEDL
  FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)
  ☆57Updated 4 years ago
• arodio / CA-Fed
  Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)
  ☆28Updated 2 years ago
• LuminLiu / HierFL
  Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning
  ☆122Updated 4 years ago
• pringlesinghal / GreedyFed
  Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"
  ☆17Updated last year
• xingyushu / FL_client_selection
  Federated learning client selection
  ☆19Updated 2 years ago
• qub-blesson / FedAdapt
  Adaptive Offloading of Federated Learning on IoT Devices
  ☆73Updated 2 years ago
• flint-xf-fan / Byzantine-Federated-RL
  [NeurIPS2021] Federated Reinforcement Learning with Theoretical Guarantees. The repo contains code and experiments for our Federated Poli…
  ☆93Updated last week
• tian1327 / flsim_dqn
  D-DQN Reinforcement Learning for device selection in Federated Learning
  ☆40Updated last year
• COPS-IITBHU / HCSFL
  Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
  ☆39Updated 2 years ago
• JedMills / Communication-Efficient-FL-In-IoT
  ☆16Updated 4 years ago
• goldenBill / Byzantine_AirComp
  Code for our paper "Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation" (https://arxiv.org/abs/2105.10883).
  ☆24Updated 3 years ago
• ElvisShaoYumeng / BLADE-FL
  The code for the paper "Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation"
  ☆29Updated 3 years ago
• mzchen0 / Wireless-FL
  ☆65Updated 3 years ago
• Zhuzzq / FedLP
  ☆16Updated 2 years ago
• congxie1108 / async_fl
  Source code for the paper "Asynchronous Federated Optimization"
  ☆25Updated 2 years ago
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆79Updated 2 years ago
• yuxuan18 / fedAsync
  simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"
  ☆22Updated 3 years ago
• euphoria0-0 / Active-Client-Selection-for-Communication-efficient-Federated-Learning
  Active Client Selection for Federated Learning
  ☆46Updated 2 years ago
• AmanPriyanshu / FedPAQ-MNIST-implemenation
  An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…
  ☆21Updated 4 years ago
• JedMills / MTFL-For-Personalised-DNNs
  Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.
  ☆92Updated 2 years ago
• siomvas / awesome-federated-reinforcement-learning
  Publication catalog for research on Federated RL (FRL).
  ☆79Updated 3 years ago
• rbycntj / decentralized_federated_learning
  完全去中心化联邦学习
  ☆28Updated last year
• nathan-vo810 / Multiple-Edge-Servers-Federated-Learning
  Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning
  ☆19Updated 3 years ago