Alternatives and similar repositories for IOS:

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

• ShenglongZhou / FedADMM
  This Matlab package solves federated learning problems via inexact ADMM
  ☆26Updated 3 months ago
• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆29Updated 2 years ago
• SamuelHorvath / FL-optimal-client-sampling
  ☆28Updated 2 years ago
• aelgabli / FedNew
  FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
  ☆17Updated 2 years ago
• Zhaoxian-Wu / Byrd-SAGA
  Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"
  ☆18Updated 4 years ago
• HongdaWu1226 / FedPNS
  ☆30Updated 2 years ago
• seyoungahn / FedDif
  Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…
  ☆20Updated last year
• JYWa / MATCHA
  Communication-efficient decentralized SGD (Pytorch)
  ☆23Updated 5 years ago
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆18Updated 4 years ago
• jiangyuang / ModelPruningLibrary
  ☆23Updated 3 years ago
• huangtiansheng / fedslr
  ☆9Updated 2 years ago
• sunjunaimer / LAQ
  Code of NeurIPS 2019 paper: Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
  ☆16Updated 4 years ago
• illidanlab / SplitMix
  [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
  ☆42Updated last year
• s-huu / Ditto
  ☆54Updated 3 years ago
• PengchaoHan / Adaptive_Gradient_Sparsification_FL
  Adaptive gradient sparsification for efficient federated learning: an online learning approach
  ☆18Updated 4 years ago
• YuchenLiu-a / byzantine-gas
  Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".
  ☆14Updated last year
• CharlieDinh / FedU_FMTL
  This repo implements FedU, a multitask learning framework for federated learning
  ☆27Updated 2 years ago
• AdamWei-boop / Federated-Learning-with-Model-Quantization
  Federated learning with model quantization
  ☆16Updated 3 years ago
• woodenchild95 / FL-Simulator
  Pytorch implementations of some general federated optimization methods.
  ☆39Updated 5 months ago
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated last year
• desternylin / perfed
  ☆16Updated last year
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆47Updated last year
• guskarls / dfl-pens
  Decentralized federated learning of deep neural networks on non-iid data
  ☆44Updated 2 years ago
• SamsungLabs / ordered_dropout
  Technique of Ordered Dropout as used in the paper "Fjord: Fair and accurate federated learning under heterogeneous targets with ordered d…
  ☆11Updated 2 years ago
• ShenglongZhou / FedGiA
  This Matlab package solves federated learning problems via gradient descent and inexact ADMM
  ☆12Updated 3 months ago
• VeritasXu / Ternary-Federated
  demo
  ☆19Updated 3 years ago
• meng1103 / Federated-Learning-Non-IID
  Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn
  ☆25Updated 4 months ago
• Asrua / Hierarchical-Federated-Learning-PyTorch
  ☆16Updated 2 years ago
• Klitter / A-Bayesian-Federated-Learning-Framework-with-Online-Laplace-Approximation
  ☆9Updated 3 years ago
• YongzheJia / FedLPS
  ☆11Updated last year