IEEE

Blockchain-Empowered Federated Learning: Benefits, Challenges, and Solutions

Abstract: Federated learning (FL) is a distributed machine learning approach that protects user data privacy by training models locally on clients and aggregating them on a parameter server. While ...
Communications of the ACM

The Innovation Engine: Government-Funded Academic Research

Reduced Instruction Set Computer (RISC).25 Simplified instruction sets enabled faster microprocessors. Today, 99% of all ...
Motorcycle.com on MSN

Here's How To Chance Your Motorcycle Oil

Photo by julie_shutterstock/Shutterstock.com If you’re a new rider, among the most satisfying experiences you can have ...
IEEE

BHerd: Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients

Abstract: In the domain of computer architecture, Federated Learning (FL) is a paradigm of distributed machine learning in edge systems. However, the systems’ Non-Independent and Identically ...