IEEE

Split Learning Without Local Weight Sharing to Enhance Client-Side Data Privacy

Abstract: Split learning (SL) aims to protect user data privacy by distributing deep models between the client-server and keeping private data locally. In SL training with multiple clients, the local ...
ZDNet

The best NAS devices of 2026: Expert tested and reviewed

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...
OSTechNix

JavaScript Timestamp Bugs: How UTC Mistakes Break Web Apps

Learn how a single JavaScript Date() timezone mistake silently corrupts web apps and how to fix timestamp bugs in JS, Python, ...
InfoWorld

10 JavaScript-based tools and frameworks for AI and machine learning

But there’s plenty of room in the AI revolution, and JavaScript developers have their pick of tools for integrating AI into their software. The tools and libraries in this article are all excellent ...
IEEE

Federated Learning Framework Based on Distributed Storage and Diffusion Model for Intrusion Detection on IoT Networks

Abstract: The integration of Internet of Things (IoT) devices into smart environments has become increasingly prevalent, resulting in the collection of valuable user and service data. However, ...