Alternatives and similar repositories for decentralized-federated-learning

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

• guskarls / dfl-pens
  Decentralized federated learning of deep neural networks on non-iid data
  ☆45Updated 3 years ago
• rbycntj / decentralized_federated_learning
  完全去中心化联邦学习
  ☆28Updated last year
• euphoria0-0 / Active-Client-Selection-for-Communication-efficient-Federated-Learning
  Active Client Selection for Federated Learning
  ☆48Updated 2 years ago
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆164Updated 2 years ago
• LuminLiu / HierFL
  Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning
  ☆131Updated 5 years ago
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆174Updated 4 years ago
• TsingZ0 / FL-IoT
  This is a platform containing the datasets and federated learning algorithms in IoT environments.
  ☆66Updated 7 months ago
• iQua / flsim
  A simulation framework for Federated Learning written in PyTorch
  ☆207Updated 3 years ago
• makgyver / gossipy
  Python module for simulating gossip learning.
  ☆40Updated last year
• Yoruko-Tang / FedCor
  Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
  ☆46Updated 2 years ago
• chandra2thapa / SplitFed-When-Federated-Learning-Meets-Split-Learning
  Releasing the source code Version1.
  ☆166Updated 3 years ago
• liecn / PyramidFL
  [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…
  ☆72Updated 2 years ago
• Orienfish / Async-HFL
  [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
  ☆37Updated 2 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆116Updated 4 years ago
• TsingZ0 / HtFLlib
  You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
  ☆178Updated last month
• mingxuts / multi-center-fed-learning
  fully ready experiments
  ☆39Updated 3 years ago
• CharlieDinh / pFedMe
  Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
  ☆297Updated 3 years ago
• youpengl / FedCHAR
  [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition
  ☆31Updated last year
• HongdaWu1226 / FedPNS
  ☆31Updated 3 years ago
• marswhu / HFL_Survey
  Heterogeneous Federated Learning: State-of-the-art and Research Challenges
  ☆151Updated 6 months ago
• WHDY / FedAvg
  Implement FedAvg algorithm based on Tensorflow
  ☆253Updated 4 years ago
• MMorafah / FLIS
  FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
  ☆39Updated 2 years ago
• morningD / FlexCFL
  FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.
  ☆49Updated 2 years ago
• ki-ljl / FedProx-PyTorch
  PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).
  ☆109Updated 3 years ago
• Asrua / Hierarchical-Federated-Learning-PyTorch
  ☆19Updated 2 years ago
• katsura-jp / fedavg.pytorch
  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
  ☆84Updated 11 months ago
• felisat / federated-learning
  ☆96Updated 3 years ago
• wizard1203 / GossipFL
  ☆20Updated last year
• ki-ljl / FedPer
  PyTorch implementation of FedPer (Federated Learning with Personalization Layers).
  ☆76Updated 2 years ago
• lx10077 / fedavgpy
  On the Convergence of FedAvg on Non-IID Data
  ☆266Updated 2 years ago