Results 21 to 30 of about 3,699,940 (365)
Data-Based Optimal Bandwidth for Kernel Density Estimation of Statistical Samples [PDF]
Commun. Theor. Phys. 70 (2018) 728-734, 2021 It is a common practice to evaluate probability density function or matter spatial density function from statistical samples. Kernel density estimation is a frequently used method, but to select an optimal bandwidth of kernel estimation, which is completely based on data samples, is a long-term issue that has not been well settled so far.
arxiv +1 more source
An incentive mechanism with bandwidth allocation for federated learning
物联网学报, 2022 Federated learning (FL) is an emerging machine learning paradigm that can make full use of crowd sourced mobile resources for training on decentralized data.However, it is challenging to deploy FL over a wireless network because of the limited bandwidth ...
Yingyun GUO +4 more
doaj +2 more sources
IET Communications, 2022 With the increasing number of fibre access users, P2P file sharing download traffic has gradually become one of the enormous bandwidth consumptions for the access network.
Yongli Tang +4 more
doaj +1 more source
Asynchronous Hierarchical Federated Learning Based on Bandwidth Allocation and Client Scheduling
Applied Sciences, 2023 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
doaj +1 more source
Joint Client Selection and Bandwidth Allocation Algorithm for Federated Learning
IEEE Transactions on Mobile Computing, 2023 In federated learning (FL), if the participating mobile devices have low computing power and poor wireless channel conditions and/or they do not have sufficient data for various classes, a long convergence time is required to achieve the desired model ...
Haneul Ko +4 more
semanticscholar +1 more source
Fog Fragment Cooperation on Bandwidth Management Based on Reinforcement Learning
Sensors, 2020 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
doaj +1 more source
QoS-Aware Cost Minimization Strategy for AMI Applications in Smart Grid Using Cloud Computing
Sensors, 2022 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
doaj +1 more source
Generalization of the Concept of Bandwidth [PDF]
, 2021 In the sciences and engineering, the concept of bandwidth is often subject to interpretation depending upon context and the requirements of a specific community. The focus of this work is to formulate this concept for a general class of passive oscillatory dynamical systems, including but not limited to mechanical, structural, acoustic, electrical, and
arxiv +1 more source
Bandwidth Management VMs Live Migration in Wireless Fog Computing for 5G Networks [PDF]
2016 5th IEEE International Conference on Cloud Networking (Cloudnet), 2016 Live virtual machine migration aims at enabling the dynamic balanced use of the networking/computing physical resources of virtualized data-centers, so to lead to reduced energy consumption.
Danilo Amendola +2 more
semanticscholar +1 more source
qCon: QoS-Aware Network Resource Management for Fog Computing
Sensors, 2018 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
doaj +1 more source