Alternatives and similar repositories for federated-learning:

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

• zhongjian-zhang / FederalLearning
  通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …
  ☆35Updated 2 years ago
• LuminLiu / HierFL
  Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning
  ☆122Updated 4 years ago
• tao-shen / Federated-Learning-FAQ
  ☆190Updated 7 months ago
• tian1327 / flsim_dqn
  D-DQN Reinforcement Learning for device selection in Federated Learning
  ☆40Updated last year
• iQua / flsim
  A simulation framework for Federated Learning written in PyTorch
  ☆206Updated 2 years ago
• ki-ljl / FedAvg-numpy-pytorch-tff
  Three implementations of FedAvg: numpy, pytorch and tensorflow federated.
  ☆42Updated 2 years ago
• rbycntj / decentralized_federated_learning
  完全去中心化联邦学习
  ☆26Updated last year
• HongdaWu1226 / FedPNS
  ☆30Updated 2 years ago
• COPS-IITBHU / HCSFL
  Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
  ☆39Updated 2 years ago
• congxie1108 / async_fl
  Source code for the paper "Asynchronous Federated Optimization"
  ☆25Updated 2 years ago
• liecn / PyramidFL
  [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…
  ☆71Updated 2 years ago
• open-intelligence / federated-learning-chinese
  ☆111Updated 4 years ago
• euphoria0-0 / Active-Client-Selection-for-Communication-efficient-Federated-Learning
  Active Client Selection for Federated Learning
  ☆45Updated last year
• AdamWei-boop / Federated-Learning-with-Local-Differential-Privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆46Updated 2 years ago
• ki-ljl / FedProx-PyTorch
  PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).
  ☆106Updated 2 years ago
• ki-ljl / Per-FedAvg
  PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).
  ☆63Updated last year
• katsura-jp / fedavg.pytorch
  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
  ☆81Updated 8 months 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
• WHDY / FedAvg
  Implement FedAvg algorithm based on Tensorflow
  ☆246Updated 4 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
• Orienfish / Async-HFL
  [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
  ☆37Updated last year
• yuxuan18 / fedAsync
  simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"
  ☆22Updated 3 years ago
• diwangs / asynchronous-federated-learning
  Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)
  ☆62Updated last year
• SMILELab-FL / Dive-into-Federated-Learning
  Tutorials and paper lists for federated learning
  ☆67Updated 2 years ago
• Willjay5991 / federatedLearning-DP-my
  联邦学习分布式训练MNist数据集
  ☆56Updated 5 years ago
• siomvas / awesome-federated-reinforcement-learning
  Publication catalog for research on Federated RL (FRL).
  ☆79Updated 3 years ago
• tjdghks994 / FedPSO
  FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs
  ☆19Updated 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
• Accenture / Labs-Federated-Learning
  Accenture Labs Federated Learning
  ☆98Updated last year
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆77Updated 2 years ago