Alternatives and similar repositories for federated-learning-master

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

• rruisong / pytorch_federated_learning
  PyTorch Federated Learning (easy to use and extend)
  ☆273Updated last year
• WHDY / FedAvg
  Implement FedAvg algorithm based on Tensorflow
  ☆256Updated 4 years ago
• Echo-Wxl / Federated-Learning
  Overview of Federal Learning
  ☆293Updated 2 years ago
• SMILELab-FL / FedLab-benchmarks
  Standard federated learning implementations in FedLab and FL benchmarks.
  ☆153Updated last year
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆175Updated 4 years ago
• lxcnju / FedRepo
  ☆177Updated 2 years ago
• ki-ljl / Per-FedAvg
  PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).
  ☆70Updated last year
• ki-ljl / FedAvg-numpy-pytorch-tff
  Three implementations of FedAvg: numpy, pytorch and tensorflow federated.
  ☆44Updated 3 years ago
• TsingZ0 / HtFLlib
  You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
  ☆187Updated 2 weeks ago
• marswhu / HFL_Survey
  Heterogeneous Federated Learning: State-of-the-art and Research Challenges
  ☆156Updated 8 months ago
• microsoft / PersonalizedFL
  Personalized federated learning codebase for research
  ☆394Updated 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
• HongdaWu1226 / FedPNS
  ☆32Updated 3 years ago
• FederatedAI / Practicing-Federated-Learning
  ☆872Updated last year
• zj-jayzhang / FedAvg
  This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.
  ☆32Updated 4 years ago
• katsura-jp / fedavg.pytorch
  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
  ☆87Updated last year
• chandra2thapa / SplitFed-When-Federated-Learning-Meets-Split-Learning
  Releasing the source code Version1.
  ☆170Updated 4 years ago
• Xtra-Computing / NIID-Bench
  Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
  ☆609Updated last year
• tao-shen / Federated-Learning-FAQ
  ☆195Updated last year
• ki-ljl / FedProx-PyTorch
  PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).
  ☆111Updated 3 years ago
• 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…
  ☆399Updated 10 months ago
• rbycntj / decentralized_federated_learning
  完全去中心化联邦学习
  ☆29Updated 2 years ago
• orion-orion / FedCom
  🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习（clustered federated learning, CFL）的新方法，该方法的特点是基于社区检测（community detection）来进…
  ☆66Updated 2 years ago
• lx10077 / fedavgpy
  On the Convergence of FedAvg on Non-IID Data
  ☆267Updated 2 years ago
• TsingZ0 / FedALA
  AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
  ☆141Updated 10 months ago
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆163Updated 2 years ago
• taoqi98 / PrivateKT
  Codes of PrivateKT
  ☆13Updated 2 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆116Updated 4 years ago
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆82Updated 3 years ago
• Chenxing-Xuan / A-series-of-popular-science-in-federated-learning
  ☆72Updated 10 months ago