PratikGarai / MNIST-Federated
Experiments on MNIST dataset and federated training using Flower framework
☆37Updated 7 months ago
Alternatives and similar repositories for MNIST-Federated:
Users that are interested in MNIST-Federated are comparing it to the libraries listed below
- This repository contains all the implementation of different papers on Federated Learning☆43Updated 4 years ago
- Implementation of dp-based federated learning framework using PyTorch☆291Updated last year
- ☆52Updated 2 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆61Updated last year
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆74Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆121Updated last year
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆117Updated 2 years ago
- Principles of ML Systems Project☆27Updated 4 years ago
- ☆172Updated 3 months ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆83Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆139Updated 2 years ago
- Repository containing notebooks that implement different Federated Learning algorithms using PyTorch☆12Updated 3 years ago
- Federated Learning Course Materials☆65Updated 3 years ago
- Simple simulation of federated learning (FedAvg) using Flower framework☆22Updated 3 years ago
- A simple federated learning implementation on MNIST dataset using PySyft. Main goal of the project was to get used to the PySyft federate…☆13Updated 10 months ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 4 years ago
- Code and data accompanying the FedGen paper☆249Updated 3 months ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆368Updated 3 months ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆189Updated 9 months ago
- federated-learning☆83Updated 2 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆72Updated last week
- Wuhan Corona (COVID-19) patients dataset☆38Updated last year
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆83Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆230Updated 6 months ago
- Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination☆22Updated 2 years ago
- Federated Learning on object detection☆43Updated last year
- Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralised data. The r…☆42Updated 5 years ago
- Contains codes for my published tutorials☆30Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆77Updated 6 months ago