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 ...
See Configuring Claude Desktop / Claude Code for examples. A comprehensive Microsoft SQL Server client implementing the Model Context Protocol (MCP). This server provides extensive SQL Server ...
Abstract: Federated Learning (FL) is a distributed machine learning paradigm involving multiple clients to train a server model. In practice, clients often possess limited data and are not always ...
Client libraries are necessary for client applications and tools to connect to Analysis Services. Microsoft client applications like Power BI Desktop, Excel, SQL Server Management Studio (SSMS), and ...
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