In a world where energy efficiency and system reliability play a vital role, safeguarding these systems from various anomalies is of utmost significance. This task is demanding and requires a substantial amount of eff...
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In this article, we introduce a new method for analyzing and summarizing posts from r/SuicideWatch on Reddit, overcoming the limitations of current techniques in processing complex mental health discussions online. Ex...
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The principles of Edge Computing (EC) allow for the local processing of data generated at the network edge. With the support of EC, Federated Learning (FL) is increasingly emerging as a practical and widely adopted wa...
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ISBN:
(数字)9798350385557
ISBN:
(纸本)9798350385564
The principles of Edge Computing (EC) allow for the local processing of data generated at the network edge. With the support of EC, Federated Learning (FL) is increasingly emerging as a practical and widely adopted way of conducting distributed machine learning across locally distributed data. However, clients typically use a variety of devices and encounter numerous situations. Differences in computational capacities, communication abilities, and other resources among clients create a situation where conventional FL struggles to accommodate the personalized resource conditions of each client. Additionally, the traditional FL framework heavily relies on labeled data. Conversely, clients might encounter difficulties in annotating task-specific data in many practical situations, either due to a lack of expertise or limited resources. To address these challenges, we propose a resource-efficient Semi-Supervised Federated Learning (SSFL) approach named Semi-Hetero. This method reduces resource overhead and improves training efficiency by optimizing both data annotation amounts and model compression ratios in resource-constrained EC systems. Furthermore, we evaluate the performance of Semi-Hetero on Cifar-10 and Cifar-100 under different supervised conditions. Compared with the state-of-the-art SSFL algorithm, Semi-Hetero can reduce computational resources by up to 46.6% and bandwidth resources by 45.4 %, with less time consumption.
In order to provide Internet services, the Domain Name System (DNS) plays a crucial role. Muti-Domain Cooperative Alliance is proposed to promote DNS globalization and maintain the permanent sustainability of the Inte...
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In-fber whispering gallery mode(WGM)microsphere resonators have received remarkable attention due to the superiorities of compact structure,high stability and *** an in-fber structure,WGM microsphere resonators have b...
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In-fber whispering gallery mode(WGM)microsphere resonators have received remarkable attention due to the superiorities of compact structure,high stability and *** an in-fber structure,WGM microsphere resonators have been demonstrated in various applications,such as sensors,flters and lasers,which have signifcant impacts on modern ***,we review recent progress of in-fber WGM microsphere resonators,which involve fbers of diverse structures and microspheres of diferent ***,a brief introduction is given to in-fber WGM microsphere resonators,from structures to ***,we focus on recent progresses in this feld,including in-fber couplers based on conventional fbers,capillaries and micro-structure hollow fbers,and passive/active ***,future developments of the in-fber WGM microsphere resonators are envisioned.
Represented by evolutionary algorithms and swarm intelligence algorithms, nature-inspired metaheuristics have been successfully applied to recommender systems and amply demonstrated effectiveness, in particular, for m...
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Simultaneous orthogonal matching pursuit (SOMP) is a classical algorithm for solving multiple measurement vectors (MMV) problems. In this paper, we analyze the theoretical performance of the SOMP algorithm using the r...
Simultaneous orthogonal matching pursuit (SOMP) is a classical algorithm for solving multiple measurement vectors (MMV) problems. In this paper, we analyze the theoretical performance of the SOMP algorithm using the restricted isometry property (RIP). In particular, we show that SOMP can robustly recover any joint K-sparse signal from its noisy measurements if the sensing matrix satisfies the RIP with isometry constant upper bounded by an absolute constant. Our result significantly improves upon some exiting results that require the isometry constant to be at least inversely proportional to $\sqrt K$.
The tree-structured stick-breaking process (TS-SBP) mixture model is a non-parametric Bayesian model that can represent tree-like hierarchical structures among the mixture components. For TS-SBP mixture models, only a...
ISBN:
(数字)9784885523519
ISBN:
(纸本)9798331533335
The tree-structured stick-breaking process (TS-SBP) mixture model is a non-parametric Bayesian model that can represent tree-like hierarchical structures among the mixture components. For TS-SBP mixture models, only a Markov chain Monte Carlo (MCMC) method has been proposed and any variational Bayesian (VB) methods has not been proposed. In general, MCMC methods are computationally more expensive than VB methods. Therefore, we require a large computational cost to learn the TS-SBP mixture model. In this paper, we propose a learning algorithm with less computational cost for the TS-SBP mixture of Gaussians by using the VB method under an assumption of finite tree width and depth. When constructing such VB method, the main challenge is efficient calculation of a sum over all possible trees. To solve this challenge, we utilizes a subroutine in the Bayes coding algorithm for context tree models. We confirm the computational efficiency of our VB method through an experiments on a benchmark dataset.
Accurate traffic flow prediction is essential to address traffic issues and assist traffic managers make informed decisions in intelligent transportation systems. Extracting potential features from traffic data is cha...
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In this paper we prove a global attractivity result for the unique positive equilibrium point of a difference equation,which improves and generalizes some known ones in the existing ***,our results completely solve an...
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In this paper we prove a global attractivity result for the unique positive equilibrium point of a difference equation,which improves and generalizes some known ones in the existing ***,our results completely solve an open problem and some conjectures proposed in[1,2,3,4].
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