Alternatives and similar repositories for fedavg.pytorch

Users that are interested in fedavg.pytorch are comparing it to the libraries listed below

• wenzhu23333 / Federated-Learning
  An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch
  ☆132Updated 2 years ago
• yuetan031 / FedProto
  [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
  ☆168Updated 3 years ago
• lxcnju / FedRepo
  ☆182Updated 2 years ago
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆181Updated 4 years ago
• ki-ljl / Scaffold-Federated-Learning
  PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).
  ☆70Updated 3 years ago
• zhuangdizhu / FedGen
  Code and data accompanying the FedGen paper
  ☆256Updated last year
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆165Updated 3 years ago
• lx10077 / fedavgpy
  On the Convergence of FedAvg on Non-IID Data
  ☆273Updated 3 years ago
• Accenture / Labs-Federated-Learning
  Accenture Labs Federated Learning
  ☆106Updated last year
• TsingZ0 / FedALA
  AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
  ☆143Updated last year
• gaoliang13 / FedDC
  An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
  ☆88Updated 3 years ago
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆84Updated 3 years ago
• diogenes0319 / FedMD_clean
  FedMD: Heterogenous Federated Learning via Model Distillation
  ☆159Updated 4 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆153Updated 3 years ago
• xiyuanyang45 / DynamicPFL
  nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy
  ☆86Updated last year
• TsingZ0 / FL-IoT
  This is a platform containing the datasets and federated learning algorithms in IoT environments.
  ☆68Updated last year
• marswhu / HFL_Survey
  Heterogeneous Federated Learning: State-of-the-art and Research Challenges
  ☆167Updated last year
• Xtra-Computing / MOON
  Model-Contrastive Federated Learning (CVPR 2021)
  ☆294Updated 3 years ago
• MMorafah / FLIS
  FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
  ☆39Updated 3 years ago
• yjlee22 / FedShare
  PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
  ☆122Updated 3 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆120Updated 5 years ago
• WHDY / FedAvg
  Implement FedAvg algorithm based on Tensorflow
  ☆264Updated 5 years ago
• WenkeHuang / Pytorch_FedMD
  ☆75Updated 5 years ago
• KarhouTam / SCAFFOLD-PyTorch
  Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
  ☆73Updated 2 years ago
• mingxuts / multi-center-fed-learning
  fully ready experiments
  ☆38Updated 3 years ago
• SMILELab-FL / FedLab-benchmarks
  Standard federated learning implementations in FedLab and FL benchmarks.
  ☆153Updated last year
• ki-ljl / FedProx-PyTorch
  PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).
  ☆113Updated 3 years ago
• chandra2thapa / SplitFed-When-Federated-Learning-Meets-Split-Learning
  Releasing the source code Version1.
  ☆176Updated 4 years ago
• JYWa / FedNova
  PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
  ☆226Updated 5 years ago
• pliang279 / LG-FedAvg
  [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations
  ☆242Updated last year