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Asynchronous Hierarchical Federated Learning Based on Bandwidth Allocation and Client Scheduling
Federated learning (FL) offers a promising solution in edge computing to overcome bandwidth limitations and privacy concerns associated with traditional cloud-based training.
Jian Yang+4 more
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qCon: QoS-Aware Network Resource Management for Fog Computing
Fog computing is a new computing paradigm that employs computation and network resources at the edge of a network to build small clouds, which perform as small data centers.
Cheol-Ho Hong+3 more
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Fog Fragment Cooperation on Bandwidth Management Based on Reinforcement Learning
The term big data has emerged in network concepts since the Internet of Things (IoT) made data generation faster through various smart environments. In contrast, bandwidth improvement has been slower; therefore, it has become a bottleneck, creating the ...
Motahareh Mobasheri+2 more
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QoS-Aware Cost Minimization Strategy for AMI Applications in Smart Grid Using Cloud Computing
Cloud computing coupled with Internet of Things technology provides a wide range of cloud services such as memory, storage, computational processing, network bandwidth, and database application to the end users on demand over the Internet.
Asfandyar Khan+6 more
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A 3D Parallel Algorithm for QR Decomposition [PDF]
Interprocessor communication often dominates the runtime of large matrix computations. We present a parallel algorithm for computing QR decompositions whose bandwidth cost (communication volume) can be decreased at the cost of increasing its latency cost
Ballard, Grey+4 more
core +2 more sources
Measurements of Available Bandwidth in Computer Networks [PDF]
Available bandwidth is one the key challenges that is present in every new developed standard in the computer networks. There are many proposed methodologies in the existing research literature for measuring the available bandwidth. In this paper we will present summary of the main contributions in this field, research problems and solutions and we ...
Leonid Djinevski+6 more
openaire +1 more source
Bandwidth Selection in Nonparametric Regression with Large Sample Size
In the context of nonparametric regression estimation, the behaviour of kernel methods such as the Nadaraya-Watson or local linear estimators is heavily influenced by the value of the bandwidth parameter, which determines the trade-off between bias and ...
Daniel Barreiro-Ures+2 more
doaj +1 more source
Bandwidth Control in Computer- Generated Holography
The Fourier transform between the time and frequency signals of light enables highly efficient band usage in optical communications. Analogously, the Fourier transform between the wavefield and wavevector distributions in the optical spatial diffraction is useful to understand the bandwidth considered in the diffraction simulations.
Mian Wu+6 more
openaire +2 more sources
Fairness and energy co-aware computation offloading for fog-assisted IoT
As an extension of the cloud computing paradigm, fog computing has attracted wide attention due to its advantages of low energy consumption, short time delay, and high bandwidth saving.
Si-guang CHEN, Zi-hui YOU
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Self-Competence Learning for Bandwidth Slicing and Confidential Computing Requirement
This work proposes a Self-Competence Learning bandwidth slicing method (SCL) to determine the quantity and position of each slice’s spectrum resources considering the channel diversity and varying bandwidth requirements.
Yen-Hung Chen
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