Abstract: Federated Learning is a decentralized framework that facilitates the training of a universal model by co-training on edge mobile client nodes. This approach eliminates the need to upload ...
A Model Context Protocol (MCP) server that transforms natural language questions into optimized KQL queries with intelligent schema discovery, AI-powered caching, and seamless Azure Data Explorer ...
A Model Context Protocol (MCP) server providing universal access to all 800,000+ Federal Reserve Economic Data (FRED®) time series through three powerful tools. This ...
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