ngc436/awesome-vertical-federated-learning
A curated list of advancements in Vertical Federated Learning, frameworks and libraries.
This list helps AI and machine learning researchers and practitioners who need to build or study models using data from multiple organizations without sharing the raw data directly. It provides a comprehensive collection of publications, algorithms, datasets, and frameworks specifically for 'Vertical Federated Learning.' You'll find papers covering various aspects like privacy, benchmarks, and model types.
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Use this if you are a researcher or practitioner exploring or implementing machine learning solutions that require collaboration across different organizations, each holding unique features for the same set of users, while maintaining data privacy.
Not ideal if you are looking for an off-the-shelf software tool for general machine learning tasks or a beginner's guide to federated learning concepts.
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Jul 29, 2025
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