PratikGarai / MNIST-Federated
Experiments on MNIST dataset and federated training using Flower framework
☆37Updated 9 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
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆121Updated 2 years ago
- ☆53Updated 3 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆77Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- Simple simulation of federated learning (FedAvg) using Flower framework☆22Updated 3 years ago
- federated-learning☆82Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆64Updated 4 months ago
- Contains codes for my published tutorials☆30Updated 2 years ago
- Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch☆19Updated 3 years ago
- Repository containing notebooks that implement different Federated Learning algorithms using PyTorch☆12Updated 3 years ago
- Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination☆23Updated 2 years ago
- 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
- A simple federated learning implementation on MNIST dataset using PySyft. Main goal of the project was to get used to the PySyft federate…☆13Updated 11 months ago
- Federated Learning on object detection☆44Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆299Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆127Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 4 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆82Updated 8 months ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆29Updated last year
- 🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习(clustered federated learning, CFL)的新方法,该方法的特点是基于社区检测(community detection)来进…☆62Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆154Updated 3 years ago
- Similarity Guided Model Aggregation for Federated Learning☆24Updated 3 years ago
- Federated Learning Course Materials☆64Updated 3 years ago
- This is the code for my master thesis.☆16Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆188Updated 3 years ago
- Implementation of a client reputation, gradient checking and homomorphic encryption mechanism to defend a federated learning system from …☆12Updated last year
- 关于簇联邦学习的一个小小的改进。自动确定簇个数,提高簇模型精度,缓解用户孤立的问题☆35Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆129Updated 5 months ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆52Updated 2 years ago