Abstract: Federated deep learning is the method of choice for performing deep learning in environments where data sharing is not allowed due to privacy/security issues. However, all of the solutions ...
Going to the database repeatedly is slow and operations-heavy. Caching stores recent/frequent data in a faster layer (memory) ...
Although it's currently functional, this MCP server is under development. Please use with caution and thoroughly test in non-production environments first. If you encounter any issues or have feature ...
FedPPO: Reinforcement Learning-Based Client Selection for Federated Learning With Heterogeneous Data
Abstract: Federated Learning (FL) enables multiple data owners to jointly train a machine learning model, which can improve joint environmental cognitive capability without disclosing their private ...
MCP (Model Context Protocol) is an emerging standard for AI tools and resources. The standard is compatible with normal REST API servers, but adds extra metadata to describe tools, resources, and ...
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