Guncuke / fedexLinks
a simple federate-learning framework write by python
☆11Updated last year
Alternatives and similar repositories for fedex
Users that are interested in fedex are comparing it to the libraries listed below
Sorting:
- PyTorch Federated Learning (easy to use and extend)☆296Updated 2 years ago
- 联邦学习模块化框架，支持各类FL。A universal federated learning framework, free to switch thread and process modes☆178Updated 7 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆133Updated 2 years ago
- ☆182Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆112Updated 3 years ago
- 🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pyto…☆66Updated 2 years ago
- Implement FedAvg algorithm based on Tensorflow☆265Updated 5 years ago
- Overview of Federal Learning☆293Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆88Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated 2 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆167Updated last year
- An easy-to-use federated learning platform☆300Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆56Updated 2 months ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆145Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆219Updated last month
- ☆80Updated last year
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆75Updated this week
- demo☆20Updated 4 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆70Updated last year
- Model-Contrastive Federated Learning (CVPR 2021)☆298Updated 3 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆611Updated last year
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated last year
- On the Convergence of FedAvg on Non-IID Data☆274Updated 3 years ago
- Pytorch implementations of some general federated optimization methods.☆50Updated last year
- ☆83Updated 4 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 3 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆170Updated 3 years ago