Everything about federated learning. Your contribution is highly valued!关于联邦学习的资料,包括:介绍、综述文章、最新文章、代表工作及其代码、数据集、论文等等。 欢迎一起贡献!目录 1. 教程 Tutorial 2. 相关论文 Related Papers 3. 项目 Project 4. 相关学者 R
Federated Learning Tutorial Flower's goal is to make federated learning accessible to everyone. This series of tutorials introduces the fundamentals of federated learning and how to implement them in Flower. What is Federated Learning? (or open the Jupyter Notebook) An Introduction to Federated Learn...
（1）横向联邦学习。横向联邦学习又称为特征对齐的联邦学习（Feature-Aligned Federated Learning），是把...
除了今年的ICML有个security and privacy of machine learning的workshop之外, 年底的NeurIPS也会有一个单独的federated learning的workshop. 今年的CVPR也有FL的一个tutorial, 包括一个由各大牛们推荐的新的会议 SysML[5]也开始关注很多FL相关的问题. 国内也有很多公司开始做FL了, 除了WeBank把这个用在金融上, 还有...
Federated Learning (FL) has become an attractive approach to collaboratively train Machine Learning models while data sources’ privacy is still prese
If you’re interested in learning more about how to set up FL with homomorphic encryption using Clara Train, we have a great Jupyter notebook on GitHub that walks you through the setup. HE can reduce model inversion or data leakage risks if there is a malicious or compromised server. Howeve...
A tutorial on federated learning from theory to practice: Foundations, software frameworks, exemplary use cases, and selected trends IEE/CAA J. Automat. Sinica (2024) G.Zhanget al. PPFed: A privacy-preserving and personalized federated learning framework ...
Take the tutorial to learn federated learning Users love Flower “The simulation engine is great andlets me run complete federated systems on my computer. It all runs very smooth and quick.” William Lindskog PhD Candidate at DENSO & TU Munich ...
The ubiquitous smart meters are expected to be a central feature of future smart grids because they enable the collection of massive amounts of fine-grained consumption data to support demand-side flexibility. However, current smart meters are not smart
gitclonehttps://github.com/alibaba/FederatedScope.gitcdFederatedScope Use Docker You can build docker image and run with docker env (cuda 11 and torch 1.10): docker build -f environment/docker_files/federatedscope-torch1.10.Dockerfile -t alibaba/federatedscope:base-env-torch1.10 . ...