yyyanbj/awesome-asynchronous-federated-learning
📦 Collect some Asynchronous Federated Learning papers.
This is a curated collection of research papers focused on Asynchronous Federated Learning. It helps researchers and practitioners find relevant academic work on building machine learning models across decentralized datasets without sharing raw data, especially when data contributions are not perfectly synchronized. The collection provides direct links to papers, covering various aspects of asynchronous federated learning.
125 stars. No commits in the last 6 months.
Use this if you are a researcher or practitioner in machine learning or AI, specifically investigating or implementing asynchronous federated learning, and need to quickly access foundational and recent academic papers on the topic.
Not ideal if you are looking for code libraries, practical tutorials, or a general introduction to machine learning; this resource is a paper collection for a specific advanced ML subfield.
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125
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7
Language
Python
License
MIT
Category
Last pushed
Jan 11, 2024
Commits (30d)
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