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Scaling distributed training in rural primary care: a Philippine model for LMIC health systems [PDF]

Frontiers in Medicine
Low- and middle-income countries (LMICs) continue to face persistent shortages of trained primary care providers in rural areas. This challenge is compounded by the lack of locally accessible residency training programs, which limits opportunities for ...
Aileen T. Riel-Espina +8 more
doaj +2 more sources

In-Network Learning: Distributed Training and Inference in Networks [PDF]

Entropy, 2023
In this paper, we study distributed inference and learning over networks which can be modeled by a directed graph. A subset of the nodes observes different features, which are all relevant/required for the inference task that needs to be performed at ...
Matei Moldoveanu, Abdellatif Zaidi
doaj +2 more sources

Distributed training of foundation models for ophthalmic diagnosis [PDF]

Communications Engineering
Vision impairment affects nearly 2.2 billion people globally, and nearly half of these cases could be prevented with early diagnosis and intervention—underscoring the urgent need for reliable and scalable detection methods for conditions like diabetic ...
Sina Gholami +7 more
doaj +2 more sources

Editorial: Distributed training and rural health professions education [PDF]

Frontiers in Medicine
Roger Peter Strasser +5 more
doaj +2 more sources

Lessons from innovation in medical education during the COVID-19 pandemic: student perspectives on distributed training

Rural and Remote Health, 2023
Introduction: Can the forced adaptation brought about by COVID-19 inform the future of clinical education? This study brings a low- and middle-income country perspective to this question. Most studies of the impact of COVID-19 on medical students'
Ruhann Botha +3 more
doaj +1 more source

Reviewing academic coordination on the rural distributed training platform in South Africa

Rural and Remote Health, 2023
Introduction: Distributed training of students from a variety of health professions is increasing in South Africa because of the type of learning it offers and that it caters for the increasing number of students being accepted into health sciences ...
Jana Muller +3 more
doaj +1 more source

Textual Adversarial Training Method Based on Distributed Perturbation [PDF]

Jisuanji gongcheng, 2023
Text adversarial defense aims to enhance the resilience of neural network models against different adversarial attacks. The current text confrontation defense methods are usually only effective against certain specific confrontation attacks and have ...
Zhidong SHEN, Hengxian YUE
doaj +1 more source

Large-scale post-disaster user distributed coverage optimization based on multi-agent reinforcement learning

Tongxin xuebao, 2022
In order to quickly restore emergency communication services for large-scale post-disaster users, a distributed intellicise coverage optimization architecture based on multi-agent reinforcement learning (RL) was proposed, which could address the ...
Wenjun XU +5 more
doaj

Parallel and scalable AI in HPC systems for CFD applications and beyond

Frontiers in High Performance Computing
This manuscript presents the library AI4HPC with its architecture and components. The library enables large-scale trainings of AI models on High-Performance Computing systems.
Rakesh Sarma +3 more
doaj +1 more source

Distributed Training of Structured SVM

CoRR, 2015
NIPS Workshop on Optimization for Machine Learning ...
Ching-Pei Lee +3 more
openaire +2 more sources

deep learning
fos: computer and information sciences
computer science - machine learning

machine learning cs.lg
humans
parallelism

statistics - machine learning
artificial neural networks
large language models