Results 31 to 40 of about 93,494,442 (293)
PROSPECTIVE TEACHERS’ PERCEPTION OF ENGAGEMENT IN ACTIVE LEARNING THROUGH PEER TEACHING AND PEER ASSESSMENT [PDF]
, 2017 The study intends to investigate the perceptions of higher education students about their engagement in active learning through peer-teaching and peer-assessment. A group of 22 students comprising nine female and thirteen males participated in the study.
Sarwar, Muhammad +2 more
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
openaire +2 more sources
Peer to Peer Learning Platform Optimized With Machine Learning
CoRR, 2022 13 pages, 11 references, 16 ...
openaire +2 more sources
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
openaire +2 more sources
TravellingFL: Communication Efficient Peer-to-Peer Federated Learning
IEEE Transactions on Vehicular Technology, 2022 <p>Machine learning and artificial intelligence are two key emerging technologies in computer science that require vast amounts of data for a meaningful application. The requirement of such a large dataset is usually met by pooling data from various sources, which is often difficult to implement in practice due to strict data privacy constraints.
Vansh Gupta +4 more
openaire +3 more sources
Peer-to-Peer Trading for Energy-Saving Based on Reinforcement Learning
Energies, 2022 This paper proposes a new peer-to-peer (P2P) energy trading method between energy sellers and consumers in a community based on multi-agent reinforcement learning (MARL).
Liangyi Pu +5 more
doaj +1 more source
The E-Learning Grid: Peer-To-Peer Approach [PDF]
, 2006 In this paper we present some of the approaches taken by the European E-Learning Grid consortium in building learning Grids. Some of the initial research has been done within the EC GENIUS project, which is a partnership between industry and academia. In this particular paper we focus on how in combining the collaborative and peer-to-peer approach with
Vassil Alexandrov 0001 +3 more
openaire +2 more sources
Membership Inference Vulnerabilities in Peer-to-Peer Federated Learning
Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems Workshop, 2023 National Research Foundation (NRF)
Alka Luqman +2 more
openaire +3 more sources