Chenxing-Xuan / A-series-of-popular-science-in-federated-learning
☆59Updated 5 months ago
Alternatives and similar repositories for A-series-of-popular-science-in-federated-learning:
Users that are interested in A-series-of-popular-science-in-federated-learning are comparing it to the libraries listed below
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆142Updated this week
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆147Updated 2 months ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆81Updated 7 months ago
- Releasing the source code Version1.☆148Updated 3 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆146Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆62Updated last year
- ☆23Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 6 months ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆77Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆122Updated last year
- Accenture Labs Federated Learning☆97Updated last year
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆47Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆168Updated 4 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆64Updated 6 months ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆68Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆39Updated 4 months ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆124Updated 4 months ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆62Updated 3 months ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆106Updated 2 years ago
- Simplified Implementation of FedPAC☆52Updated last year
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- ☆175Updated 2 years ago
- ☆36Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆113Updated 4 years ago
- fully ready experiments☆36Updated 2 years ago
- ☆74Updated 4 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆25Updated 3 years ago
- ☆11Updated 2 months ago
- ☆30Updated 2 years ago