Alternatives and similar repositories for FedDR

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

• s-huu / Ditto
  ☆54Updated 4 years ago
• alpemreacar / FedDyn
  ☆82Updated 3 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆153Updated 3 years ago
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆165Updated 3 years ago
• MLOPTPSU / FedTorch
  FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
  ☆192Updated 8 months ago
• epfml / federated-learning-public-code
  ☆162Updated 2 years ago
• ki-ljl / Scaffold-Federated-Learning
  PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).
  ☆70Updated 3 years ago
• JYWa / FedNova
  PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
  ☆225Updated 5 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆120Updated 5 years ago
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆55Updated 2 months ago
• wenzhu23333 / Federated-Learning
  An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch
  ☆132Updated 2 years ago
• KarhouTam / SCAFFOLD-PyTorch
  Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
  ☆73Updated 2 years ago
• katsura-jp / fedavg.pytorch
  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
  ☆90Updated last year
• ramshi236 / Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks
  SCAFFOLD and FedAvg implementation
  ☆61Updated 4 years ago
• FederatedAI / research
  ☆177Updated last year
• pliang279 / LG-FedAvg
  [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations
  ☆242Updated last year
• Klitter / A-Bayesian-Federated-Learning-Framework-with-Online-Laplace-Approximation
  ☆10Updated 4 years ago
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆181Updated 4 years ago
• HongdaWu1226 / FedPNS
  ☆32Updated 3 years ago
• woodenchild95 / FL-Simulator
  Pytorch implementations of some general federated optimization methods.
  ☆49Updated last year
• SamuelHorvath / FL-optimal-client-sampling
  ☆29Updated 2 years ago
• chandra2thapa / SplitFed-When-Federated-Learning-Meets-Split-Learning
  Releasing the source code Version1.
  ☆174Updated 4 years ago
• Accenture / Labs-Federated-Learning
  Accenture Labs Federated Learning
  ☆106Updated last year
• NVlabs / FedFomo
  ☆43Updated 4 years ago
• vrt1shjwlkr / NDSS21-Model-Poisoning
  Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"
  ☆148Updated 3 years ago
• inspire-group / ModelPoisoning
  Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
  ☆152Updated 3 years ago
• abbottyanginchina / Awesome-Federated-Unlearning
  Awesome Federated Unlearning (FU) Papers (Continually Update)
  ☆107Updated last year
• felisat / federated-learning
  ☆96Updated 4 years ago
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆84Updated 3 years ago
• KarhouTam / Per-FedAvg
  PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach
  ☆56Updated 2 years ago