Alternatives and similar repositories for FL-optimal-client-sampling:

Users that are interested in FL-optimal-client-sampling are comparing it to the libraries listed below

• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆30Updated 2 years ago
• CharlieDinh / FedU_FMTL
  This repo implements FedU, a multitask learning framework for federated learning
  ☆28Updated this week
• Tzq2doc / FedMD
  FedMD: Heterogenous Federated Learning via Model Distillation
  ☆17Updated 5 years ago
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆79Updated 2 years ago
• s-huu / Ditto
  ☆54Updated 3 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆115Updated 4 years ago
• MMorafah / FLIS
  FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
  ☆40Updated 2 years ago
• ycruan / FedSoft
  Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"
  ☆17Updated 3 years ago
• guskarls / dfl-pens
  Decentralized federated learning of deep neural networks on non-iid data
  ☆46Updated 2 years ago
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆48Updated last year
• alpemreacar / FedDyn
  ☆77Updated 3 years ago
• OnizukaLab / FedMeasure
  ☆17Updated last year
• HongdaWu1226 / FedPNS
  ☆30Updated 2 years ago
• mingxuts / multi-center-fed-learning
  fully ready experiments
  ☆39Updated 2 years ago
• Accenture / Labs-Federated-Learning
  Accenture Labs Federated Learning
  ☆100Updated last year
• ki-ljl / Scaffold-Federated-Learning
  PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).
  ☆68Updated 2 years ago
• MMorafah / PACFL
  Official Code for PACFL AAAI 2023
  ☆43Updated last year
• fedl-repo / fedaux
  ☆30Updated 4 years ago
• lebyni / PFA
  ☆36Updated 3 years ago
• JianXu95 / FedPAC
  Simplified Implementation of FedPAC
  ☆56Updated last year
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆43Updated last year
• XinyiYS / CollaborativeFairFederatedLearning
  Official implementation of our work "Collaborative Fairness in Federated Learning."
  ☆51Updated 11 months ago
• illidanlab / SplitMix
  [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
  ☆42Updated 2 years ago
• cpwan / Attack-Adaptive-Aggregation-in-Federated-Learning
  This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.
  ☆44Updated last year
• woodenchild95 / FL-Simulator
  Pytorch implementations of some general federated optimization methods.
  ☆41Updated 6 months ago
• gaoliang13 / FedDC
  An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
  ☆84Updated 3 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆144Updated 3 years ago
• jeremy313 / FL-WBC
  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…
  ☆39Updated 3 years ago
• cugzj / KT-pFL
  ☆34Updated 3 years ago
• cyyever / distributed_learning_simulator
  For distributed machine learning
  ☆28Updated 2 months ago