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Federated learning privacy incentives: Reverse auctions and negotiations
CAAI Transactions on Intelligence Technology, 2023 The incentive mechanism of federated learning has been a hot topic, but little research has been done on the compensation of privacy loss. To this end, this study uses the Local SGD federal learning framework and gives a theoretical analysis under the ...
Hongqin Lyu +4 more
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Learning Through Reverse Engineering [PDF]
2010 Annual Conference & Exposition Proceedings, 2020 Comment: 7 ...
Shannon O'Brien, J.Patrick Abulencia
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First-order logic learning in artificial neural networks [PDF]
, 2010 Artificial Neural Networks have previously been applied in neuro-symbolic learning to learn ground logic program rules. However, there are few results of learning relations using neuro-symbolic learning.
Broda, K., Garcez, A., Guillame-Bert, M.
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Metamaterial Reverse Multiple Prediction Method Based on Deep Learning
Nanomaterials, 2021 Metamaterials and their related research have had a profound impact on many fields, including optics, but designing metamaterial structures on demand is still a challenging task.
Zheyu Hou +6 more
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Learning Retrospective Knowledge with Reverse Reinforcement Learning
, 2020 NeurIPS ...
Zhang, S, Veeriah, V, Whiteson, S
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Reverse engineering of genetic networks with Bayesian networks [PDF]
, 2003 This paper provides a brief introduction to learning Bayesian networks from gene-expression data. The method is contrasted with other approaches to the reverse engineering of biochemical networks, and the Bayesian learning paradigm is briefly described ...
Husmeier, D.
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Statistical physics of unsupervised learning with prior knowledge in neural networks
, 2020 Integrating sensory inputs with prior beliefs from past experiences in unsupervised learning is a common and fundamental characteristic of brain or artificial neural computation.
Hou, Tianqi, Huang, Haiping
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Contrast-reversal abolishes perceptual learning
Journal of Vision, 2009 We tested the effects of contrast reversal on perceptual learning in a 10AFC texture identification task. Four groups of subjects performed the task on two consecutive days. One group saw the same textures on both days, whereas three other groups saw novel, rotated (180 deg), or contrast-reversed textures on the second day.
Zahra, Hussain +2 more
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Inductive Inference and Reverse Mathematics [PDF]
, 2015 The present work investigates inductive inference from the perspective of reverse mathematics. Reverse mathematics is a framework which relates the proof strength of theorems and axioms throughout many areas of mathematics in an interdisciplinary way ...
, Jain, Sanjay, Stephan, Frank
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Dorsolateral striatum engagement during reversal learning [PDF]
Learning & Memory, 2020 Most experimental preparations demonstrate a role for dorsolateral striatum (DLS) in stimulus-response, but not outcome-based, learning. Here, we assessed DLS involvement in a touchscreen-based reversal task requiring mice to update choice following a change in stimulus-reward contingencies.
Hadley C. Bergstrom +4 more
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