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 ...
Nature

Distributed control circuits across a brain-and-cord connectome

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
IEEE

Threats and Defenses in the Federated Learning Life Cycle: A Comprehensive Survey and Challenges

Abstract: Federated learning (FL) offers innovative solutions for privacy-preserving distributed machine learning (ML). Different from centralized data collection algorithms, FL enables participants ...