PratikGarai / MNIST-FederatedLinks
Experiments on MNIST dataset and federated training using Flower framework
☆41Updated last month
Alternatives and similar repositories for MNIST-Federated
Users that are interested in MNIST-Federated are comparing it to the libraries listed below
Sorting:
- Federated Learning Course Materials☆64Updated 4 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆78Updated 3 years ago
- Implementation of dp-based federated learning framework using PyTorch☆312Updated 2 years ago
- ☆54Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆459Updated 2 years ago
- This repository contains all the implementation of different papers on Federated Learning☆42Updated 5 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆412Updated last year
- An easy-to-use federated learning platform☆299Updated 2 years ago
- Principles of ML Systems Project☆26Updated 4 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆112Updated 3 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆304Updated 3 years ago
- Code and data accompanying the FedGen paper☆255Updated last year
- ☆176Updated last year
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 7 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆164Updated 3 years ago
- Contains codes for my published tutorials☆31Updated 2 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 last year
- Democratize access to data, decentralize Artificial intelligence and enhance user privacy with Federated learning and Blockchain.☆193Updated 4 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆290Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆242Updated last year
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆610Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 11 months ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- Implement FedAvg algorithm based on Tensorflow☆263Updated 4 years ago
- TraceFL is a novel mechanism for Federated Learning that achieves interpretability by tracking neuron provenance. It identifies clients r…☆10Updated last year
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆73Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- Similarity Guided Model Aggregation for Federated Learning☆25Updated 3 years ago
- Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch☆18Updated 4 years ago