Peer-to-peer learning - Open Access .click

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Resilient Peer-to-Peer Learning Based on Adaptive Aggregation

11 ...
Chandreyee Bhowmick, Xenofon D. Koutsoukos +1 more
openaire +2 more sources

Peer-to-Peer Learning Dynamics of Wide Neural Networks

ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Peer-to-peer learning is an increasingly popular framework that enables beyond-5G distributed edge devices to collaboratively train deep neural networks in a privacy-preserving manner without the aid of a central server. Neural network training algorithms for emerging environments, e.g., smart cities, have many design considerations that are difficult ...
Shreyas Chaudhari +3 more
openaire +4 more sources

Trio-ethnographic Reflection on Using Digital Storytelling to Enhance Learners’ Engagement

Vietnam Journal of Education
The teaching and learning process in the digital landscape is evolving beyond traditional one-way knowledge delivery. Using trio-ethnography, a combination of duoethnography and photography (Le et al., 2021), we sought to explore how to integrate ...
Lien Phuong Thi Le +4 more
doaj +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

Decentralized federated learning using validation loss for model sharing in crop disease classification

Ecological Informatics
Agriculture plays an essential role in the economies of many countries, as it provides numerous livelihoods. However, managing crop diseases is one of the major challenges in modern agriculture.
Denis Mamba Kabala +3 more
doaj +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source

A new approach to the peer-learning: Artificial intelligence-assisted peer-learning [PDF]

Research and Development in Medical Education, 2023
Sajedeh Kermani +3 more
doaj +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source

Peer-Assisted Learning in Undergraduate Midwifery Clinical Education: A Qualitative Study on Experiences of Nursing Students From Three Namibian Training Institutions

SAGE Open Nursing
Introduction Peer-assisted learning is widely used in nursing education and is reported to have a positive impact on the students’ learning process. However, students’ experiences of peer-assisted learning from midwifery clinical education in resource ...
Kristine S Kandingu MSc, Vistolina Nuuyoma PhD +1 more
doaj +1 more source

Profiles of e-learners based on learning motivation: differences in peer-to-peer confirmation and mental health

Frontiers in Education
IntroductionPrevious research employing latent profile analysis has considerably advanced our understanding of student motivation in online learning environments.
Romualda Rimasiute-Knabikiene, Aiste Dirzyte, Aiste Dirzyte +2 more
doaj +1 more source

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