Results 21 to 30 of about 294,534 (263)
Online team-based electrocardiogram training in Haiti: evidence from the field
BMC Medical Education, 2022 Background The electrocardiogram (ECG) is the most relied upon tool for cardiovascular diagnosis, especially in low-resource settings because of its low cost and straightforward usability.
Dawson Calixte +9 more
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Robust peer-to-peer learning via secure multi-party computation
Journal of Information and Intelligence, 2023 To solve the data island problem, federated learning (FL) provides a solution paradigm where each client sends the model parameters but not the data to a server for model aggregation.
Yongkang Luo +4 more
doaj +1 more source
Peer-to-peer Federated Learning on Graphs
CoRR, 2019 We consider the problem of training a machine learning model over a network of nodes in a fully decentralized framework. The nodes take a Bayesian-like approach via the introduction of a belief over the model parameter space. We propose a distributed learning algorithm in which nodes update their belief by aggregate information from their one-hop ...
Anusha Lalitha +3 more
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GRAPP&S, a Peer-to-Peer Middleware for Interlinking and Sharing Educational Resources [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2015 This article presents GRAPP&S (Grid APPlication & Services), a specification of an E-learning architecture for the decentralized sharing of educational resources. By dealing with different resources such as files, data streams (video, audio, VoIP)
Thierno Ahmadou Diallo +3 more
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Online Peer-Tutoring for Programming Languages Based on Programming Ability and Teaching Skill
Applied Sciences, 2022 Web-based cooperative learning could enhance students’ learning motivation; however, learning activities in this process are rather confusing because of the lack of structured learning strategies, resulting in unfavorable learning achievements.
Yu-Chen Kuo, Ching-Bang Yao, Zhe-Yu Wu
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Student Autonomy and Peer Learning – An Example
Högre Utbildning, 2012 This short article presents and describes a transition from “traditional” teaching with knowledge transferred from the teacher to the students in a classroom to a peer-to-peer situation in which the students, with different support, learn from each other.
Stefan Hellmer
doaj +4 more sources
On the (In)security of Peer-to-Peer Decentralized Machine Learning
2023 IEEE Symposium on Security and Privacy (SP), 2023 IEEE S&P'23 (Previous title: "On the Privacy of Decentralized Machine Learning") + Fixed error in neighbors-discovery ...
Dario Pasquini +2 more
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Peer to Peer Learning Platform Optimized With Machine Learning
CoRR, 2022 13 pages, 11 references, 16 ...
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Pharmacy, 2014 Background: Peer to peer learning is a well-established learning modality which has been shown to improve learning outcomes, with positive implications for clinical practice.
Sheila Oh +7 more
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Peer-to-Peer Learning+Consensus with Non-IID Data
2023 57th Asilomar Conference on Signals, Systems, and Computers, 2023 Peer-to-peer deep learning algorithms are enabling distributed edge devices to collaboratively train deep neural networks without exchanging raw training data or relying on a central server. Peer-to-Peer Learning (P2PL) and other algorithms based on Distributed Local-Update Stochastic/mini-batch Gradient Descent (local DSGD) rely on interleaving epochs
Srinivasa Pranav, José M. F. Moura
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