Alternatives and similar repositories for FL-Client-Sampling

Users that are interested in FL-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
• SamuelHorvath / FL-optimal-client-sampling
  ☆29Updated 2 years ago
• HongdaWu1226 / FedPNS
  ☆30Updated 3 years ago
• guskarls / dfl-pens
  Decentralized federated learning of deep neural networks on non-iid data
  ☆45Updated 2 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆117Updated 4 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
• Liepill / RSA-Byzantine
  ☆24Updated 5 years ago
• sunjunaimer / LAQ
  Code of NeurIPS 2019 paper: Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
  ☆16Updated 5 years ago
• alpemreacar / FedDyn
  ☆77Updated 3 years ago
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆162Updated 2 years ago
• PengchaoHan / Adaptive_Gradient_Sparsification_FL
  Adaptive gradient sparsification for efficient federated learning: an online learning approach
  ☆17Updated 4 years ago
• ki-ljl / Scaffold-Federated-Learning
  PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).
  ☆68Updated 2 years ago
• CharlieDinh / FedU_FMTL
  This repo implements FedU, a multitask learning framework for federated learning
  ☆28Updated last month
• ramshi236 / Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks
  SCAFFOLD and FedAvg implementation
  ☆59Updated 3 years ago
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆79Updated 2 years ago
• AIoT-MLSys-Lab / FedRolex
  [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…
  ☆62Updated 9 months ago
• krishnap25 / RFA
  Robust aggregation for federated learning with the RFA algorithm.
  ☆48Updated 2 years ago
• MMorafah / FLIS
  FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
  ☆40Updated 2 years ago
• mingxuts / multi-center-fed-learning
  fully ready experiments
  ☆39Updated 2 years ago
• KarhouTam / SCAFFOLD-PyTorch
  Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
  ☆70Updated 2 years ago
• Klitter / A-Bayesian-Federated-Learning-Framework-with-Online-Laplace-Approximation
  ☆9Updated 3 years ago
• Accenture / Labs-Federated-Learning
  Accenture Labs Federated Learning
  ☆102Updated last year
• felisat / federated-learning
  ☆94Updated 3 years ago
• leileidudu / FedSGD
  Federated learning via stochastic gradient descent
  ☆33Updated 4 years ago
• CharlieDinh / FEDL_pytorch
  This repository implements FEDL using pytorch
  ☆54Updated 4 years ago
• woodenchild95 / FL-Simulator
  Pytorch implementations of some general federated optimization methods.
  ☆41Updated 7 months ago
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆175Updated 4 years ago
• wenzhu23333 / Federated-Learning
  An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch
  ☆127Updated 2 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆144Updated 3 years ago
• s-huu / Ditto
  ☆54Updated 3 years ago