IEEE

Weighted Average Consensus Algorithms in Distributed and Federated Learning

Abstract: The exponential growth of the Internet of Things (IoT) has created an essential demand for Distributed Machine Learning (DML) systems. In this context, Federated Learning (FL) allows IoT ...

Elephant Robotics Expands Educational Robotics Solutions

Integrated robotics platforms support STEM instruction, AI learning, smart logistics training, and advanced robotics ...
IEEE

L3DML: Facilitating Geo-Distributed Machine Learning in Network Layer

Abstract: Geo-Distributed Machine Learning (GDML) aims to train large-scale machine learning models across geographically dispersed datacenters. However, the performance of GDML systems is constrained ...
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 ...