Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Towfic, Zaid"'
Autor:
Towfic, Zaid J., Sayed, Ali H.
Publikováno v:
IEEE Transactions on Signal Processing, vol. 63, no. 11, pp. 2888-2903, Jun. 2015
This work studies distributed primal-dual strategies for adaptation and learning over networks from streaming data. Two first-order methods are considered based on the Arrow-Hurwicz (AH) and augmented Lagrangian (AL) techniques. Several revealing res
Externí odkaz:
http://arxiv.org/abs/1408.3693
A neuron is a basic physiological and computational unit of the brain. While much is known about the physiological properties of a neuron, its computational role is poorly understood. Here we propose to view a neuron as a signal processing device tha
Externí odkaz:
http://arxiv.org/abs/1405.2951
In this paper, we consider learning dictionary models over a network of agents, where each agent is only in charge of a portion of the dictionary elements. This formulation is relevant in Big Data scenarios where large dictionary models may be spread
Externí odkaz:
http://arxiv.org/abs/1402.1515
Autor:
Towfic, Zaid J., Sayed, Ali H.
In this work, we study the task of distributed optimization over a network of learners in which each learner possesses a convex cost function, a set of affine equality constraints, and a set of convex inequality constraints. We propose a fully-distri
Externí odkaz:
http://arxiv.org/abs/1312.4415
This work studies the learning ability of consensus and diffusion distributed learners from continuous streams of data arising from different but related statistical distributions. Four distinctive features for diffusion learners are revealed in rela
Externí odkaz:
http://arxiv.org/abs/1302.1157
In this work, we analyze the generalization ability of distributed online learning algorithms under stationary and non-stationary environments. We derive bounds for the excess-risk attained by each node in a connected network of learners and study th
Externí odkaz:
http://arxiv.org/abs/1301.0047
Publikováno v:
Navigation (Institute of Navigation). Spring2024, Vol. 71 Issue 1, p238-288. 51p.
Akademický článek
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Akademický článek
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Publikováno v:
In Neurocomputing 18 July 2013 112:138-152