Alternatives and similar repositories for Per-FedAvg

Users that are interested in Per-FedAvg are comparing it to the libraries listed below

• yuetan031 / FedProto
  [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
  ☆166Updated 3 years ago
• ddayzzz / federated-meta
  Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"
  ☆78Updated 5 years ago
• ki-ljl / Per-FedAvg
  PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).
  ☆75Updated last year
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆165Updated 3 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆153Updated 3 years ago
• ki-ljl / Scaffold-Federated-Learning
  PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).
  ☆70Updated 3 years ago
• MLOPTPSU / FedTorch
  FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
  ☆192Updated 7 months ago
• KarhouTam / SCAFFOLD-PyTorch
  Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
  ☆73Updated 2 years ago
• TsingZ0 / FedALA
  AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
  ☆143Updated last year
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆181Updated 4 years ago
• CharlieDinh / pFedMe
  Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
  ☆306Updated 3 years 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
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆120Updated 5 years ago
• zhuangdizhu / FedGen
  Code and data accompanying the FedGen paper
  ☆256Updated last year
• katsura-jp / fedavg.pytorch
  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
  ☆89Updated last year
• NVlabs / FedFomo
  ☆43Updated 4 years ago
• ki-ljl / FedProx-PyTorch
  PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).
  ☆112Updated 3 years ago
• Accenture / Labs-Federated-Learning
  Accenture Labs Federated Learning
  ☆106Updated last year
• AvivSham / pFedHN
  Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]
  ☆194Updated 2 years ago
• epfml / federated-learning-public-code
  ☆162Updated 2 years ago
• alpemreacar / FedDyn
  ☆82Updated 3 years ago
• ki-ljl / FedPer
  PyTorch implementation of FedPer (Federated Learning with Personalization Layers).
  ☆78Updated 3 years ago
• diogenes0319 / FedMD_clean
  FedMD: Heterogenous Federated Learning via Model Distillation
  ☆159Updated 4 years ago
• mingxuts / multi-center-fed-learning
  fully ready experiments
  ☆38Updated 3 years ago
• Lee-Gihun / FedNTD
  (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
  ☆89Updated 2 years ago
• TsingZ0 / FL-IoT
  This is a platform containing the datasets and federated learning algorithms in IoT environments.
  ☆68Updated last year
• pliang279 / LG-FedAvg
  [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations
  ☆242Updated last year
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆84Updated 3 years ago
• gaoliang13 / FedDC
  An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
  ☆88Updated 3 years ago
• c-gabri / Federated-Learning-PyTorch
  PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…
  ☆79Updated 3 years ago