EDN

How AI is driving a new paradigm in test distribution

The future of semiconductor test may depend as much on data movement and workflow intelligence as on the tester hardware ...
IEEE

SCC: Synchronization Congestion Control for Multi-Tenant Learning Over Geo-Distributed Clouds

Abstract: Distributed machine learning over geo-distributed clouds enables joint training of data located in different regions, alleviating the burden of transferring large volumes of training ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Locally Differentially Private Gradient Tracking for Distributed Online Learning Over Directed Graphs

Abstract: Distributed online learning has been proven extremely effective in solving large-scale machine learning problems over streaming data. However, information sharing between learners in ...