Alternatives and similar repositories for MNIST-Federated

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

• c-gabri / Federated-Learning-PyTorch
  PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…
  ☆76Updated 3 years ago
• ayushm-agrawal / Federated-Learning-Implementations
  This repository contains all the implementation of different papers on Federated Learning
  ☆42Updated 4 years ago
• santteegt / fl-algorithms
  Repository containing notebooks that implement different Federated Learning algorithms using PyTorch
  ☆12Updated 4 years ago
• chamathpali / FedSim
  Similarity Guided Model Aggregation for Federated Learning
  ☆24Updated 3 years ago
• Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
  Implementation of dp-based federated learning framework using PyTorch
  ☆300Updated 2 years ago
• yjlee22 / FedShare
  PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
  ☆122Updated 2 years ago
• ipc-lab / private-ml-for-health
  Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
  ☆75Updated 3 months ago
• eceisik / ece_fl_public
  ☆53Updated 3 years ago
• mukul-rathi / personalised-federated-learning
  Principles of ML Systems Project
  ☆26Updated 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
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆64Updated 3 years ago
• diwangs / asynchronous-federated-learning
  Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)
  ☆62Updated last year
• TheWitcher05 / Federated_learning_with_differential_privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆33Updated 4 years ago
• vivekkhimani / federated_learning_pysyft
  A simple federated learning implementation on MNIST dataset using PySyft. Main goal of the project was to get used to the PySyft federate…
  ☆13Updated last year
• KarhouTam / SCAFFOLD-PyTorch
  Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
  ☆70Updated 2 years ago
• pliang279 / LG-FedAvg
  [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations
  ☆237Updated 10 months ago
• eceisik / ARFED
  Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination
  ☆24Updated 2 years ago
• abdkhanstd / COVID-19
  Wuhan Corona (COVID-19) patients dataset
  ☆38Updated last year
• gaoliang13 / FedDC
  An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
  ☆85Updated 3 years ago
• warisgill / TraceFL
  TraceFL is a novel mechanism for Federated Learning that achieves interpretability by tracking neuron provenance. It identifies clients r…
  ☆10Updated 6 months ago
• jeremy313 / non-iid-dataset-for-personalized-federated-learning
  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…
  ☆83Updated 5 years ago
• Gharibim / federated_learning_course
  Federated Learning Course Materials
  ☆64Updated 4 years ago
• diogenes0319 / FedMD_clean
  FedMD: Heterogenous Federated Learning via Model Distillation
  ☆154Updated 4 years ago
• FederatedAI / research
  ☆175Updated 7 months ago
• TsingZ0 / FedALA
  AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
  ☆135Updated 6 months ago
• leileidudu / FedSGD
  Federated learning via stochastic gradient descent
  ☆33Updated 4 years ago
• baolongnguyenmac / fl-ml
  This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"
  ☆29Updated last year
• MMorafah / FLIS
  FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
  ☆40Updated 2 years ago
• ki-ljl / FedProx-PyTorch
  PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).
  ☆107Updated 2 years ago
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆175Updated 4 years ago