tushar-semwal/awesome-federated-computing
:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
This collection helps researchers and practitioners explore federated machine learning, a method for training algorithms across decentralized datasets without sharing raw data. It compiles research papers, code examples, tutorials, and blogs, providing a comprehensive overview of existing knowledge and tools. Anyone interested in implementing or researching privacy-preserving machine learning will find this a valuable resource.
480 stars. No commits in the last 6 months.
Use this if you need to understand, research, or implement machine learning models while maintaining data privacy and locality.
Not ideal if you are looking for a step-by-step guide to building a specific federated learning application without needing to delve into the underlying research.
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Aug 01, 2023
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