Alternatives and similar repositories for FedProx-PyTorch

Users that are interested in FedProx-PyTorch are comparing it to the libraries listed below

• ki-ljl / FedPer
  PyTorch implementation of FedPer (Federated Learning with Personalization Layers).
  ☆74Updated 2 years ago
• ki-ljl / Per-FedAvg
  PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).
  ☆65Updated last year
• TsingZ0 / FedALA
  AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
  ☆135Updated 6 months ago
• ki-ljl / Scaffold-Federated-Learning
  PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).
  ☆68Updated 2 years ago
• katsura-jp / fedavg.pytorch
  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
  ☆83Updated 10 months ago
• yuetan031 / FedProto
  [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
  ☆153Updated 3 years ago
• KarhouTam / SCAFFOLD-PyTorch
  Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
  ☆70Updated 2 years ago
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆175Updated 4 years ago
• ddayzzz / federated-meta
  Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"
  ☆74Updated 4 years ago
• yjlee22 / FedShare
  PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
  ☆122Updated 2 years ago
• wenzhu23333 / Federated-Learning
  An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch
  ☆127Updated 2 years ago
• TsingZ0 / HtFLlib
  You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
  ☆162Updated last month
• lxcnju / FedRepo
  ☆175Updated 2 years ago
• KarhouTam / pFedLA
  PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning
  ☆89Updated 2 years ago
• marswhu / HFL_Survey
  Heterogeneous Federated Learning: State-of-the-art and Research Challenges
  ☆149Updated 5 months ago
• KarhouTam / Per-FedAvg
  PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach
  ☆54Updated 2 years ago
• SMILELab-FL / FedLab-benchmarks
  Standard federated learning implementations in FedLab and FL benchmarks.
  ☆153Updated last year
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆162Updated 2 years ago
• alpemreacar / FedDyn
  ☆77Updated 3 years ago
• WHDY / FedAvg
  Implement FedAvg algorithm based on Tensorflow
  ☆251Updated 4 years ago
• Accenture / Labs-Federated-Learning
  Accenture Labs Federated Learning
  ☆102Updated last year
• Chenxing-Xuan / A-series-of-popular-science-in-federated-learning
  ☆64Updated 7 months ago
• gaoliang13 / FedDC
  An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
  ☆85Updated 3 years ago
• WwZzz / FLGo
  ☆31Updated 2 years ago
• ki-ljl / FedAvg-numpy-pytorch-tff
  Three implementations of FedAvg: numpy, pytorch and tensorflow federated.
  ☆42Updated 2 years ago
• JYWa / FedNova
  PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
  ☆213Updated 4 years ago
• lx10077 / fedavgpy
  On the Convergence of FedAvg on Non-IID Data
  ☆267Updated 2 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆117Updated 4 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆144Updated 3 years ago
• rruisong / pytorch_federated_learning
  PyTorch Federated Learning (easy to use and extend)
  ☆261Updated last year