Alternatives and similar repositories for Federated-Learning

Users that are interested in Federated-Learning are comparing it to the libraries listed below

• wyjeong / FedWeIT
  This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer
  ☆111Updated 4 years ago
• AllenBeau / pFedBayes
  Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]
  ☆57Updated 3 years ago
• jhoon-oh / FedBABU
  ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"
  ☆50Updated 3 years ago
• akhilmathurs / orchestra
  Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"
  ☆58Updated 2 years ago
• conditionWang / FLNK
  Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…
  ☆84Updated last year
• Lee-Gihun / FedNTD
  (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
  ☆87Updated 2 years ago
• IdanAchituve / pFedGP
  Code for Personalized Federated Learning with Gaussian Processes
  ☆34Updated 3 years ago
• NVlabs / FedFomo
  ☆43Updated 3 years ago
• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆32Updated 3 years ago
• lianziqt / CFeD
  ☆23Updated 3 years ago
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆42Updated 2 years ago
• JianXu95 / FedPAC
  Simplified Implementation of FedPAC
  ☆60Updated last year
• Liangqiong / ViT-FL-main
  ☆113Updated 2 years ago
• vaseline555 / SuPerFed
  (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)
  ☆31Updated last year
• LINs-lab / FedTHE
  [ICLR 2023] Test-time Robust Personalization for Federated Learning
  ☆53Updated 2 years ago
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆69Updated 10 months ago
• epfml / federated-learning-public-code
  ☆162Updated 2 years ago
• ZexiLee / ICCV-2023-FedETF
  The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…
  ☆25Updated last year
• bytedance / FedDecorr
  [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…
  ☆68Updated 2 years ago
• diaoenmao / SemiFL-Semi-Supervised-Federated-Learning-for-Unlabeled-Clients-with-Alternate-Training
  [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
  ☆41Updated 2 years ago
• debcaldarola / fedsam
  ☆85Updated 2 months ago
• s-huu / Ditto
  ☆54Updated 4 years ago
• AvivSham / pFedHN
  Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]
  ☆190Updated 2 years ago
• ZexiLee / ICML-2023-FedLAW
  The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".
  ☆58Updated 2 years ago
• daiqing98 / FedCIL
  Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning
  ☆30Updated 2 years ago
• yuetan031 / FedProto
  [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
  ☆159Updated 3 years ago
• ceh-2000 / fed_cvae
  Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.
  ☆18Updated last year
• zj-jayzhang / DENSE
  Official PyTorch implementation of DENSE (NeurIPS 2022)
  ☆30Updated 2 years ago
• KarhouTam / Per-FedAvg
  PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach
  ☆54Updated 2 years ago
• Sungwon-Han / FEDX
  ☆73Updated 3 years ago