Alternatives and similar repositories for FedAvg

Users that are interested in FedAvg are comparing it to the libraries listed below

• rruisong / pytorch_federated_learning
  PyTorch Federated Learning (easy to use and extend)
  ☆284Updated last year
• zhongjian-zhang / FederalLearning
  通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …
  ☆39Updated 3 years ago
• lx10077 / fedavgpy
  On the Convergence of FedAvg on Non-IID Data
  ☆270Updated 2 years ago
• wenzhu23333 / Federated-Learning
  An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch
  ☆132Updated 2 years ago
• katsura-jp / fedavg.pytorch
  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
  ☆88Updated last year
• Xtra-Computing / NIID-Bench
  Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
  ☆611Updated last year
• SMILELab-FL / FedLab-benchmarks
  Standard federated learning implementations in FedLab and FL benchmarks.
  ☆153Updated last year
• wenzhu23333 / Differential-Privacy-Based-Federated-Learning
  Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…
  ☆409Updated last year
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆179Updated 4 years ago
• lxcnju / FedRepo
  ☆180Updated 2 years ago
• Echo-Wxl / Federated-Learning
  Overview of Federal Learning
  ☆293Updated 2 years ago
• tao-shen / Federated-Learning-FAQ
  ☆198Updated last year
• KarhouTam / FL-bench
  Benchmark of federated learning. Dedicated to the community. 🤗
  ☆648Updated last month
• ki-ljl / FedProx-PyTorch
  PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).
  ☆112Updated 3 years ago
• iQua / flsim
  A simulation framework for Federated Learning written in PyTorch
  ☆206Updated 3 years ago
• Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
  Implementation of dp-based federated learning framework using PyTorch
  ☆312Updated 2 years ago
• Accenture / Labs-Federated-Learning
  Accenture Labs Federated Learning
  ☆105Updated last year
• marswhu / HFL_Survey
  Heterogeneous Federated Learning: State-of-the-art and Research Challenges
  ☆165Updated 10 months ago
• Chenxing-Xuan / A-series-of-popular-science-in-federated-learning
  ☆77Updated last year
• ki-ljl / FedAvg-numpy-pytorch-tff
  Three implementations of FedAvg: numpy, pytorch and tensorflow federated.
  ☆45Updated 3 years ago
• NUAA-SmartSensing / FedModule
  联邦学习模块化框架，支持各类FL。A universal federated learning framework, free to switch thread and process modes
  ☆175Updated 5 months ago
• ki-ljl / Per-FedAvg
  PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).
  ☆75Updated last year
• xiyuanyang45 / DynamicPFL
  nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy
  ☆84Updated last year
• TsingZ0 / HtFLlib
  You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
  ☆206Updated 2 months ago
• diwangs / asynchronous-federated-learning
  Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)
  ☆62Updated 2 years ago
• JYWa / FedNova
  PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
  ☆223Updated 5 years ago
• zhuangdizhu / FedGen
  Code and data accompanying the FedGen paper
  ☆254Updated last year
• chandra2thapa / SplitFed-When-Federated-Learning-Meets-Split-Learning
  Releasing the source code Version1.
  ☆172Updated 4 years ago
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆82Updated 3 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆149Updated 3 years ago