Alternatives and similar repositories for adaptive-federated-learning:

Users that are interested in adaptive-federated-learning are comparing it to the libraries listed below

• LuminLiu / HierFL
  Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning
  ☆122Updated 4 years ago
• nhatminh / FEDL-INFOCOM
  Federated Learning over Wireless Networks
  ☆45Updated 3 years ago
• iQua / flsim
  A simulation framework for Federated Learning written in PyTorch
  ☆205Updated 2 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
• COPS-IITBHU / HCSFL
  Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
  ☆38Updated 2 years ago
• qub-blesson / FedAdapt
  Adaptive Offloading of Federated Learning on IoT Devices
  ☆72Updated 2 years ago
• tian1327 / flsim_dqn
  D-DQN Reinforcement Learning for device selection in Federated Learning
  ☆41Updated last year
• lx10077 / fedavgpy
  On the Convergence of FedAvg on Non-IID Data
  ☆263Updated 2 years ago
• euphoria0-0 / Active-Client-Selection-for-Communication-efficient-Federated-Learning
  Active Client Selection for Federated Learning
  ☆45Updated last year
• CharlieDinh / FEDL
  FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)
  ☆57Updated 4 years ago
• mzchen0 / Wireless-FL
  ☆65Updated 3 years ago
• CharlieDinh / FEDL_pytorch
  This repository implements FEDL using pytorch
  ☆53Updated 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
• HongdaWu1226 / FedPNS
  ☆30Updated 2 years ago
• litian96 / fair_flearn
  Fair Resource Allocation in Federated Learning (ICLR '20)
  ☆247Updated last year
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆168Updated 4 years ago
• Yoruko-Tang / FedCor
  Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
  ☆46Updated 2 years ago
• xingyushu / FL_client_selection
  Federated learning client selection
  ☆19Updated 2 years ago
• thecheebo / Asynchronous-Federated-Learning-on-Hierarchical-Clusters
  CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggrega…
  ☆18Updated 3 years ago
• siomvas / awesome-federated-reinforcement-learning
  Publication catalog for research on Federated RL (FRL).
  ☆79Updated 3 years ago
• bourbonut / reinforcedFL
  Federated Reinforcement Learning project
  ☆27Updated 2 years ago
• WHDY / FedAvg
  Implement FedAvg algorithm based on Tensorflow
  ☆246Updated 4 years ago
• congxie1108 / async_fl
  Source code for the paper "Asynchronous Federated Optimization"
  ☆25Updated 2 years ago
• diwangs / asynchronous-federated-learning
  Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)
  ☆62Updated last year
• qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing
  ☆80Updated last year
• CharlieDinh / pFedMe
  Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
  ☆294Updated 2 years ago
• zj-jayzhang / FedAvg
  This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.
  ☆25Updated 3 years ago
• liecn / PyramidFL
  [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…
  ☆70Updated 2 years ago
• yjlee22 / FedShare
  PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
  ☆120Updated 2 years ago
• Sofianebouaziz1 / FLASH-RL
  FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…
  ☆39Updated 10 months ago