Alternatives and similar repositories for kfed

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

• AllenBeau / pFedBayes
  Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]
  ☆57Updated 3 years ago
• Yutong-Dai / FedNH
  Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.
  ☆45Updated 2 years ago
• SamuelHorvath / FL-optimal-client-sampling
  ☆29Updated 2 years ago
• thupchnsky / mufc
  A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)
  ☆22Updated last year
• Chung-ju / Unitrans
  Paper: UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration
  ☆15Updated 8 months ago
• wnn2000 / FedNoRo
  The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…
  ☆27Updated last year
• ycruan / FedSoft
  Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"
  ☆17Updated 3 years ago
• ceh-2000 / fed_cvae
  Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.
  ☆18Updated 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
• Jaap-Meerhof / Federated_XGBoost_Python
  FederBoost's Federated Gradient Boosting Decision Tree Algorithm, Federated enabled Membership Inference
  ☆15Updated last year
• ljaiverson / pFL-APPLE
  This repository contains the code for the paper accepted by IJCAI-2022: Adapt to Adaptation: Learning Personalization for Cross-Silo Fede…
  ☆12Updated 3 years ago
• ki-ljl / Scaffold-Federated-Learning
  PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).
  ☆68Updated 3 years ago
• yuetan031 / FedProto
  [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
  ☆161Updated 3 years ago
• akhilmathurs / orchestra
  Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"
  ☆59Updated 2 years ago
• sjtudyq / FedConcat
  Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)
  ☆14Updated last year
• JianXu95 / FedPAC
  Simplified Implementation of FedPAC
  ☆60Updated last year
• sarapieri / fed_het
  ☆11Updated last year
• wyjeong / FedWeIT
  This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer
  ☆111Updated 4 years ago
• baolongnguyenmac / fl-ml
  This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"
  ☆30Updated last year
• YamingGuo98 / FedIIR
  Official PyTorch implementation for the ICML 2023 paper "Out-of-Distribution Generalization of Federated Learning via Implicit Invariant …
  ☆13Updated last year
• wnn2000 / FedIIC
  The official implementation for the paper: "FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification",…
  ☆17Updated last year
• KarhouTam / SCAFFOLD-PyTorch
  Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
  ☆70Updated 2 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆146Updated 3 years ago
• fedl-repo / fedaux
  ☆30Updated 4 years ago
• alpemreacar / FedDyn
  ☆78Updated 3 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
• AC-Amiya233 / FedRep
  ☆15Updated 4 years ago
• KarhouTam / Per-FedAvg
  PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach
  ☆54Updated 2 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…
  ☆77Updated 3 years ago
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated last year