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 ...
Semiconductor Engineering

Modeling Multi-GPU Traffic For Distributed AI Workloads (UW Madison, AMD)

Researchers from University of Wisconsin-Madison and AMD Research and Advanced Development published a technical paper titled ...
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 ...
Asianet Newsable on MSN

What are the most important digital asset trends in 2026?

Industry observers believe the next stage of growth will be driven less by short-term trading and more by the platforms and systems that support the broader digital economy.