Chenxing-Xuan / A-series-of-popular-science-in-federated-learningLinks
☆80Updated last year
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
Sorting:
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆167Updated last year
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆219Updated 3 weeks ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- PyTorch Federated Learning (easy to use and extend)☆294Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆181Updated 4 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- ☆182Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆88Updated last year
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆413Updated last year
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆56Updated 2 months ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- ☆26Updated 2 years ago
- Implement FedAvg algorithm based on Tensorflow☆264Updated 5 years ago
- Accenture Labs Federated Learning☆106Updated last year
- Paper notes and code for differentially private machine learning☆372Updated 3 months ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- ☆39Updated last year
- 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☆176Updated 6 months ago
- Releasing the source code Version1.☆176Updated 4 years ago
- Benchmark of federated learning. Dedicated to the community. 🤗☆661Updated last week
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆168Updated 3 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆143Updated last year
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 3 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- We provide a friendly foundational platform for beginners who intend to start Federated Learning (FL)☆19Updated 7 months ago
- 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 last year
- ☆22Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆314Updated 2 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆294Updated 3 years ago