bariscamli / Centralized-Federated-Learning
Centralized Federated Learning using WebSockets and TensorFlow
☆9Updated 2 years ago
Related projects: ⓘ
- This repository contains all the implementation of different papers on Federated Learning☆43Updated 4 years ago
- Federated Learning Course Materials☆62Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆51Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆111Updated 2 years ago
- Federated learning used to detect credit card fraud☆13Updated 4 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆24Updated 3 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆61Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆37Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆41Updated last year
- FedZoo-Bench: An open source PyTorch libarary for federated learning with implementation of more than 22 algorithms☆15Updated 4 months ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆41Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆53Updated 8 months ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆64Updated 2 years ago
- Accenture Labs Federated Learning☆91Updated 6 months ago
- Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch☆21Updated 2 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆64Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 3 years ago
- Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.☆30Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆277Updated last year
- ☆89Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆153Updated last year
- ☆52Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆94Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆147Updated 3 years ago
- Including common test models for federated learning, like CNN, Resnet18 and lstm, controlled by different parser.☆20Updated 2 years ago
- This is official implementation of FedTP (TNNLS.2023) [https://ieeexplore.ieee.org/abstract/document/10130784].☆40Updated 8 months ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆22Updated 3 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆58Updated last year
- ☆17Updated last year