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Federated learning on graph and tabular data related papers, frameworks, and datasets.
paper code
[NeurIPS 2019] Deep Leakage From Gradients
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
test on CIFAR10
**Federated Learning** Demo using **TCP Socket** in Python
Algorithms to recover input data from their gradient signal through a neural network
This script provides a convenient way to convert floating point numbers to binary fixed values
Config files for my GitHub profile.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.