an4nt / Federated-LearningLinks
Implementation of a Federated Learning based CNN model
☆17Updated 5 years ago
Alternatives and similar repositories for Federated-Learning
Users that are interested in Federated-Learning are comparing it to the libraries listed below
Sorting:
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆63Updated 2 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆23Updated 4 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆142Updated 5 years ago
- This repository contains all the implementation of different papers on Federated Learning☆42Updated 5 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- 完全去中心化联邦学习☆31Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Updated 4 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆78Updated 2 years ago
- On the Convergence of FedAvg on Non-IID Data☆275Updated 3 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆26Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Updated 5 years ago
- A simulation framework for Federated Learning written in PyTorch☆209Updated 3 years ago
- ☆96Updated 4 years ago
- Active Client Selection for Federated Learning☆49Updated 2 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆45Updated 3 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆40Updated 3 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆40Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆79Updated 5 years ago
- CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggrega…☆18Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆133Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 5 years ago
- ☆33Updated 3 years ago
- DeceFL: A Principled Decentralized Federated Learning Framework☆29Updated 3 years ago
- Implement FedAvg algorithm based on Tensorflow☆266Updated 5 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆39Updated last year
- ☆21Updated 2 years ago
- Accenture Labs Federated Learning☆106Updated last year
- Code for our paper "Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation" (https://arxiv.org/abs/2105.10883).☆26Updated 4 years ago