Tech Xplore

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
IEEE

Privacy-Preserving Offloading in Edge Intelligence Systems With Inductive Learning and Local Differential Privacy

Abstract: We address privacy and latency issues in edge-cloud computing environments where the neural network training is centralized. This paper considers the scenario where the edge devices are the ...
Hosted on MSN

Supervised learning example explained with real-life use case

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.
IEEE

Semi-Supervised Domain Adaptation via Joint Transductive and Inductive Subspace Learning

Abstract: Most existing shallow semi-supervised domain adaptation (SSDA) algorithms are based mainly on the framework adopting the maximum mean discrepancy (MMD) criterion, which is unstable and ...