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检索条件"任意字段=Proceedings of the 22nd International Conference on Distributed Computing and Networking"
1640 条 记 录,以下是131-140 订阅
排序:
OneOS: A distributed operating system for the internet of things  21
OneOS: A distributed operating system for the internet of th...
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22nd international Middleware conference, Middleware 2021
作者: Jung, Kumseok University of British Columbia VancouverBC Canada
Existing Internet of Things (IoT) platforms introduce various framework-specific APIs for building user applications, which causes technology fragmentation within the IoT ecosystem and incur engineering costs. I seek ... 详细信息
来源: 评论
Photonic computing and Communication for Neural Network Accelerators  22nd
Photonic Computing and Communication for Neural Network Acce...
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22nd international conference on Parallel and distributed computing, Applications and Technologies (PDCAT 2021)
作者: Xia, Chengpeng Chen, Yawen Zhang, Haibo Zhang, Hao Wu, Jigang Univ Otago Dept Comp Sci Dunedin New Zealand Guangdong Univ Technol Sch Comp Guangzhou Peoples R China
Conventional electronic Artificial Neural Networks (ANNs) accelerators focus on architecture design and numerical computation optimization to improve the training speed. Optical technology with low energy consumption ... 详细信息
来源: 评论
Collaborative Task Offloading for Vehicular Edge computing  22
Collaborative Task Offloading for Vehicular Edge Computing
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22nd IEEE international conference on Communication Technology, ICCT 2022
作者: Ming, Yujun Leng, Supeng School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China
Vehicular edge computing is a new paradigm that overcomes the constraints of physical distances of cloud servers on system performance in the Internet of Vehicles (IoV). In order to increase resource utilization and s... 详细信息
来源: 评论
Enhancing Intellectual Property Protection in Deep Neural Network with Confidential computing  19
Enhancing Intellectual Property Protection in Deep Neural Ne...
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2022 IEEE SmartWorld, 19th IEEE international conference on Ubiquitous Intelligence and computing, 2022 IEEE international conference on Autonomous and Trusted Vehicles conference, 22nd IEEE international conference on Scalable computing and Communications, 2022 IEEE international conference on Digital Twin, 8th IEEE international conference on Privacy computing and 2022 IEEE international conference on Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022
作者: Tian, Wensheng Xia, Ruiyan Yan, Zhichao Tang, Panpan Tu, Yonggang Zhang, Lei Nanhu Lab Jiaxing China ShanghaiTech University Shanghai China Office of Government Services and Data Resource Management Jiaxing China
Deep neural network(DNN) models consume a lot of computational resources in the training process, and DNN models have become an important intellectual property. The methods for DNN models protection are currently main... 详细信息
来源: 评论
Matching Program Implementations and Heterogeneous computing Systems  22nd
Matching Program Implementations and Heterogeneous Computing...
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22nd international conference on Parallel and distributed computing, Applications and Technologies (PDCAT 2021)
作者: Sandrieser, Martin Benkner, Siegfried Univ Vienna Fac Comp Sci Res Grp Sci Comp Vienna Austria
High performance computing (HPC) systems have become highly parallel aggregations of heterogeneous system elements. Different kinds of processors, memory regions, interconnects and software resources constitute the mo... 详细信息
来源: 评论
Multi-index Federated Aggregation Algorithm Based on Trusted Verification  22nd
Multi-index Federated Aggregation Algorithm Based on Trusted...
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22nd international conference on Parallel and distributed computing, Applications and Technologies (PDCAT 2021)
作者: Bao, Zhenshan Bai, Wei Zhang, Wenbo Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China
Movited by the modern phenomenon of distributed data collected by edge devices at scale, federated learning can use the large amounts of training data from diverse users for better representation and generalization. T... 详细信息
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Improving Semi-Supervised Federated Learning with Limited Labeled Data via Adaptive Batchsize and Pseudo Labeling
Improving Semi-Supervised Federated Learning with Limited La...
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Consumer Communications and networking conference, CCNC IEEE
作者: Byoungjun Park Pedro Porto Buarque de Gusmão Minhoe Kim Dept. of Computer and Information Science Korea University Sejong South Korea Computer Science Research Centre University of Surrey Guildford United Kingdom
Federated learning (FL) is a distributed learning method that leverages numerous edge devices for training while protecting data privacy. However, most of the data produced by distributed edge devices are unlabeled, l... 详细信息
来源: 评论
The Modified Approach to Internet of Things Data Transmission Based on a Combined Neural Network Autoencoder  22nd
The Modified Approach to Internet of Things Data Transmissio...
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22nd international Scientific and Practical conference Information and Communication Technologies and Sustainable Development, ICT and SD 2022
作者: Globa, Larysa Kurdecha, Vasyl Ushakov, Serhii National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" Beresteiskyi Avenue 37 Kyiv03056 Ukraine
With the appearance of the Internet of Things (IoT) systems, the problem of processing and efficiently transmitting data has attracted increased attention due to the need to work in real-time. There are a lot of theor... 详细信息
来源: 评论
Performance analysis of a distributed algorithm for admission control in wireless networks under the 2-hop interference model  21
Performance analysis of a distributed algorithm for admissio...
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22nd international conference on distributed computing and networking (ICDCN)
作者: Ganesan, Ashwin Int Sch Engn INSOFE Mumbai Maharashtra India
A general open problem in networking is: what are the fundamental limits to the performance that is achievable with some given amount of resources? More specifically, if each node in the network has information about ... 详细信息
来源: 评论
Machine Learning-Based Scheduling and Resources Allocation in distributed computing  22nd
Machine Learning-Based Scheduling and Resources Allocation i...
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22nd Annual international conference on Computational Science (ICCS)
作者: Toporkov, Victor Yemelyanov, Dmitry Bulkhak, Artem Natl Res Univ MPEI Moscow Russia
In this work we study a promising approach for efficient online scheduling of job-flows in high performance and distributed parallel computing. The majority of job-flow optimization approaches, including backfilling a... 详细信息
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