Abstract: We consider the federated submodel learning (FSL) problem in a distributed storage system. In the FSL framework, the full learning model at the server side is divided into multiple submodels ...
A production-ready distributed rate limiter supporting five algorithms (Token Bucket, Sliding Window, Fixed Window, Leaky Bucket, and Composite) with Redis backing for high-performance API protection.
Today, we continue our amd frame Project - over the coming months we are going to create a heavily customised build for AMD. Then give it away to one lucky KitGuru reader. Today James showcases some ...
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 ...
Smart Clinic Management System is a comprehensive full-stack healthcare application designed to modernize clinic operations. Built as the Capstone Project for Java Development, this system integrates ...