Alternatives and similar repositories for FedADMM:

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

• woodenchild95 / FL-Simulator
  Pytorch implementations of some general federated optimization methods.
  ☆37Updated 3 months ago
• wenzhu23333 / Federated-Learning
  An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch
  ☆121Updated last year
• tian1327 / flsim_dqn
  D-DQN Reinforcement Learning for device selection in Federated Learning
  ☆41Updated last year
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆75Updated 2 years ago
• AIoT-MLSys-Lab / FedRolex
  [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…
  ☆62Updated 5 months ago
• alpemreacar / FedDyn
  ☆72Updated 3 years ago
• Chenxing-Xuan / A-series-of-popular-science-in-federated-learning
  ☆54Updated 3 months ago
• HongdaWu1226 / FedPNS
  ☆31Updated 2 years ago
• LuminLiu / HierFL
  Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning
  ☆118Updated 4 years ago
• ki-ljl / Scaffold-Federated-Learning
  PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).
  ☆67Updated 2 years ago
• yuetan031 / FedProto
  [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
  ☆140Updated 2 years ago
• chandra2thapa / SplitFed-When-Federated-Learning-Meets-Split-Learning
  Releasing the source code Version1.
  ☆143Updated 3 years ago
• CharlieDinh / FedU_FMTL
  This repo implements FedU, a multitask learning framework for federated learning
  ☆26Updated 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.
  ☆131Updated this week
• ki-ljl / Per-FedAvg
  PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).
  ☆61Updated last year
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆163Updated 3 years ago
• diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients
  [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
  ☆158Updated last year
• morningD / FlexCFL
  FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.
  ☆47Updated 2 years ago
• MMorafah / FedZoo-Bench
  FedZoo-Bench: An open source PyTorch libarary for federated learning with implementation of more than 22 algorithms
  ☆17Updated 9 months ago
• morningD / GrouProx
  FedGroup, A Clustered Federated Learning framework based on Tensorflow
  ☆38Updated 3 years ago
• guskarls / dfl-pens
  Decentralized federated learning of deep neural networks on non-iid data
  ☆40Updated 2 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆139Updated 2 years ago
• OnizukaLab / FedMeasure
  ☆17Updated last year
• Accenture / Labs-Federated-Learning
  Accenture Labs Federated Learning
  ☆96Updated 11 months ago
• cshjin / fedsimul
  A project for simulation of Asynchronous Federated Learning
  ☆21Updated 3 years ago
• KarhouTam / Per-FedAvg
  PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach
  ☆49Updated 2 years ago
• euphoria0-0 / Active-Client-Selection-for-Communication-efficient-Federated-Learning
  Active Client Selection for Federated Learning
  ☆42Updated last year
• Yoruko-Tang / FedCor
  Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
  ☆46Updated 2 years ago
• COPS-IITBHU / HCSFL
  Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
  ☆37Updated 2 years ago
• iQua / flsim
  A simulation framework for Federated Learning written in PyTorch
  ☆204Updated 2 years ago