PratikGarai / MNIST-FederatedLinks
Experiments on MNIST dataset and federated training using Flower framework
☆39Updated last year
Alternatives and similar repositories for MNIST-Federated
Users that are interested in MNIST-Federated are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆77Updated 3 years ago
- Implementation of dp-based federated learning framework using PyTorch☆300Updated 2 years ago
- ☆174Updated 8 months ago
- ☆54Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆123Updated 3 years ago
- An easy-to-use federated learning platform☆298Updated last year
- Principles of ML Systems Project☆26Updated 4 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆109Updated 3 years ago
- Similarity Guided Model Aggregation for Federated Learning☆25Updated 3 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆393Updated 8 months ago
- Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination☆24Updated 2 years ago
- Code and data accompanying the FedGen paper☆251Updated 8 months ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆66Updated 7 months ago
- This repository contains all the implementation of different papers on Federated Learning☆42Updated 4 years ago
- Democratize access to data, decentralize Artificial intelligence and enhance user privacy with Federated learning and Blockchain.☆188Updated 3 years ago
- Investigating Split Learning and Federate Learning☆84Updated 5 years ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆447Updated last year
- 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
- Accenture Labs Federated Learning☆104Updated last year
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Updated 5 months ago
- 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☆36Updated 3 years ago
- ☆20Updated 2 years ago
- This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).☆86Updated 3 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆283Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆164Updated 2 years ago
- fully ready experiments☆39Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆155Updated 4 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago