Results 291 to 300 of about 2,911,071 (316)

Differentially Private Distributed Learning

INFORMS Journal on Computing, 2020
The rich data used to train learning models increasingly tend to be distributed and private. It is important to efficiently perform learning tasks without compromising individual users’ privacy even considering untrusted learning applications and, furthermore, understand how privacy-preservation mechanisms impact the learning process.
Yaqin Zhou, Shaojie Tang
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Differential Equations in Distributions

2021
This chapter presents both ordinary and partial differential equations in distributions. Linear differential equations with constant coefficients are discussed in the framework of the theory of distributions. Hyperbolic, parabolic and elliptic partial differential equations are solved by means of the Fourier transform. The Cauchy problem is discussed.
Adina Chirilă, Marin Marin, Andreas Öchsner   +2 more
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Differential Geometry of Distributions

Journal of Mathematical Sciences, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Differential phase-shift quantum key distribution

SPIE Proceedings, 2002
A novel quantum cryptography scheme is proposed, in which a single photon is prepared in a linear superposition state of three basis kets. A photon split to three pulses is sent from Alice to Bob, where the phase difference between sequential two pulses carries bit information.
Kyo, Inoue, Edo, Waks, Yoshihisa, Yamamoto   +2 more
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Differentiation of Distributions

2010
If f is continuously differentiable on an open set X in R n, one obtains by means of integration by parts that for every test function \(\phi\) the following holds: \(({\rm{test}}\ \partial _j\ f)(\phi ) = - ({\rm {test}}\ f)(\partial _j\ \phi ).\)
J. J. Duistermaat, J. A. C. Kolk
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Differentiating aggregate gaze distributions

Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization, 2011
A machine learning approach used to classify aggregate gaze distributions recorded by an eye tracker and visualized as heatmaps is demonstrated to successfully discriminate between free and task-driven exploration of video clips.
Thomas J. Grindinger, Andrew T. Duchowski, Pilar Orero   +2 more
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Adaptive Estimation Distribution Distributed Differential Evolution for Multimodal Optimization Problems

IEEE Transactions on Cybernetics, 2022
Multimodal optimization problems (MMOPs) require algorithms to locate multiple optima simultaneously. When using evolutionary algorithms (EAs) to deal with MMOPs, an intuitive idea is to divide the population into several small "niches," where different niches focus on locating different optima. These population partition strategies are called "niching"
Zi-Jia Wang, Yu-Ren Zhou, Jun Zhang
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DIFFERENTIAL OPERATORS ON SCHWARTZ DISTRIBUTIONS

International Journal of Geometric Methods in Modern Physics, 2012
Differential operators on Schwartz distributions usually are defined as the transpose of differential operators on test functions. However, they do not exhaust all differential operators. In a general setting, Schwartz distributions on sections of compact support of a vector bundle Y over a smooth manifold X are considered.
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Electronic distribution coding in cellular differentiation

Journal of Theoretical Biology, 1973
Abstract The present theories of cell differentiation explain how different types of cells can be obtained, starting from a single cell or cell type, through the action of gene repressors. They do not, however, provide a model for the primary step, i.e.
B A, Horwitz, L P, Horwitz
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Accompanying Distributions of Singular Differential Operators

Journal of Mathematical Sciences, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lyakhov, L. N., Polovinkina, Marina V., Shishkina, E. L.   +2 more
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