Peer to Peer Learning Platform Optimized With Machine Learning
CoRR, 2022 13 pages, 11 references, 16 ...
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Accelerating the transition to heat pumps: measuring real-world performance and enabling peer-to-peer learning - An Energy Futures Lab Briefing Paper [PDF]
, 2022 Major challenges exist for decarbonising heat in buildings through mass adoption of heat pumps. These include consumer uncertainty and gaps in evidence, data and installer skills.
Carmichael, Richard
core +1 more source
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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Peer development as an alternative to peer observation: a tool to enhance professional development [PDF]
, 2010 Many Higher Education institutions worldwide require that all academic staff undergo a peer observation of teaching each academic year. Within one department in a university in the South of England, questions have arisen about the value and purpose of ...
Brown, Hazel +5 more
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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
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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
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
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Unravelling peer assessment: Methodological, functional, and conceptual developments [PDF]
, 2010 Peer assessment is an educational arrangement where students judge a peer’s performance quantitatively and/or qualitatively and which stimulates students to reflect, discuss and collaborate.
Sluijsmans, Dominique M. A. +4 more
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Effective peer assessment for learning computer programming [PDF]
, 2004 Peer assessment is a technique that has been successfully employed in a variety of academic disciplines, and which is considered to be effective in developing student’s higher cognitive skills. In this paper, we consider the results of applying novel web-
Mike Joy +3 more
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Predicting Default Risk on Peer-to-Peer Lending Imbalanced Datasets
IEEE Access, 2021 In the past few years, Peer-to-Peer lending (P2P lending) has grown rapidly in the world. The main idea of P2P lending is disintermediation and removing the intermediaries like banks.
Yen-Ru Chen +4 more
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