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检索条件"机构=CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology"
923 条 记 录,以下是771-780 订阅
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FedCache 2.0: Federated Edge Learning with Knowledge Caching and dataset Distillation
arXiv
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arXiv 2024年
作者: Pan, Quyang Sun, Sheng Wu, Zhiyuan Wang, Yuwei Liu, Min Gao, Bo Wang, Jingyuan The State Key Laboratory of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing China The University of Chinese Academy of Sciences Beijing China The Zhongguancun Laboratory Beijing China The School of Computer and Information Technology The Engineering Research Center of Network Management Technology for High-Speed Railway Ministry of Education Beijing Jiaotong University Beijing China The School of Computer Science and Engineering Beihang Unversity Beijing China
Federated Edge Learning (FEL) has emerged as a promising approach for enabling edge devices to collaboratively train machine learning models while preserving data privacy. Despite its advantages, practical FEL deploym... 详细信息
来源: 评论
Improved Upper Bound on the network Function computing Capacity
Improved Upper Bound on the Network Function Computing Capac...
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作者: Guang, Xuan Yeung, Raymond W. Yang, Shenghao Li, Congduan School of Mathematical Sciences and LPMC Nankai University Tianjin300071 China Institute of Network Coding Chinese University of Hong Kong Hong Kong Hong Kong Department of Information Engineering Chinese University of Hong Kong Hong Kong Hong Kong School of Science and Engineering Chinese University of Hong Kong Shenzhen518172 China Shenzhen Key Laboratory of IoT Intelligent Systems and Wireless Network Technology Chinese University of Hong Kong Shenzhen518172 China Shenzhen Research Institute of Big Data Shenzhen518172 China School of Electronics and Communication Engineering Sun Yat-sen University Guangzhou510006 China
The problem of network function computation over a directed acyclic network is investigated in this paper. In such a network, a sink node desires to compute with zero error a target function, of which the inputs are g... 详细信息
来源: 评论
Random node reinforcement and K-core structure of complex networks
arXiv
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arXiv 2022年
作者: Ma, Rui Hu, Yanqing Zhao, Jin-Hua Guangdong Provincial Key Laboratory of Nuclear Science Institute of Quantum Matter South China Normal University Guangzhou510006 China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Southern Nuclear Science Computing Center South China Normal University Guangzhou510006 China Department of Statistics and Data Science College of Science Southern University of Science and Technology Shenzhen518055 China School of Data Science and Engineering South China Normal University Shanwei516622 China
To enhance robustness of complex networked systems, a simple method is introducing reinforced nodes which always function during failure propagation. A random scheme of node reinforcement can be considered as a benchm... 详细信息
来源: 评论
A collaborative framework for privacy protection in online social networks
A collaborative framework for privacy protection in online s...
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International Conference on Collaborative computing: networking, Applications and Worksharing (CollaborateCom)
作者: Yan Zhu Zexing Hu Huaixi Wang Hongxin Hu Gail-Joon Ahn Key Laboratory of Network and Software Security Assurance Ministry of Education Peking University China Institute of Computer Science and Technology Peking University Beijing China School of Mathematical Sciences Peking University Beijing China Laboratory of Security Engineering for Future Computing (SEFCOM) Arizona State University Tempe AZ USA
With the wide use of online social networks (OSNs), the problem of data privacy has attracted much attention. Several approaches have been proposed to address this issue. One of privacy management approaches for OSN l... 详细信息
来源: 评论
Large-scale person re-identification as retrieval
Large-scale person re-identification as retrieval
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Hantao Yao Shiliang Zhang Dongming Zhang Yongdong Zhang Jintao Li Yu Wang Qi Tian University of Chinese Academy of Sciences Beijing China Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing China School of Electronic Engineering and Computer Science Peking University Beijing China National Computer Network Emergency Response Technical Team/Coordination Center of China Department of Computer Science University of Texas at San Antonio San Antonio USA
This paper targets to bring together the research efforts on two fields that are growing actively in the past few years: multicamera person Re-Identification (ReID) and large-scale image retrieval. We demonstrate that... 详细信息
来源: 评论
Efficient Quantum Digital Signatures over Long Distances with Likely Bit Strings
arXiv
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arXiv 2024年
作者: Qin, Ji-Qian Yu, Zong-Wen Wang, Xiang-Bin State Key Laboratory of Low Dimensional Quantum Physics Department of Physics Tsinghua University Beijing100084 China Data Communication Science and Technology Research Institute Beijing100191 China Jinan Institute of Quantum technology SAICT Jinan250101 China Shanghai Branch CAS Center for Excellence and Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Shanghai201315 China Shenzhen Institute for Quantum Science and Engineering Physics Department Southern University of Science and Technology Shenzhen518055 China Frontier Science Center for Quantum Information Beijing100084 China
Quantum digital signatures (QDSs) can provide information-theoretic security of messages against forgery and repudiation. Compared with previous QDS protocols that focus on signing one-bit messages, hash function-base... 详细信息
来源: 评论
Extension of the non-parametric cluster-based time-frequency statistics to the full time windows and to single condition tests
arXiv
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arXiv 2018年
作者: Beste, Christian Kaping, Daniel Tzvetanov, Tzvetomir Cognitive Neurophysiology Department of Child and Adolescent Psychiatry Faculty of Medicine TU Dresden Germany National Institute of Mental Health Klecany Czech Republic CAS Key Laboratory of Brain Function and Disease School of Life Sciences University of Science and Technology of China Hefei Anhui230027 China Anhui Key Laboratory for Affective Computing and Advanced Intelligent Machines School of Computer and Information Hefei University of Technology Hefei Anhui230009 China
Oscillatory processes are central for the understanding of the neural bases of cognition and behaviour. To analyse these processes, time-frequency (TF) decomposition methods are applied and non-parametric cluster-base... 详细信息
来源: 评论
Group-wise inhibition based feature regularization for robust classification
arXiv
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arXiv 2021年
作者: Liu, Haozhe Wu, Haoqian Xie, Weicheng Liu, Feng Shen, Linlin 1Computer Vision Institute College of Computer Science and Software Engineering 2SZU Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society 3National Engineering Laboratory for Big Data System Computing Technology 4Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen 518060 China
The convolutional neural network (CNN) is vulnerable to degraded images with even very small variations (e.g. corrupted and adversarial samples). One of the possible reasons is that CNN pays more attention to the most... 详细信息
来源: 评论
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC
arXiv
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arXiv 2024年
作者: Yang, Sikun Koeppl, Heinz School of Computing and Information Technology Great Bay University Dongguan523000 China Great Bay Institute for Advanced Study Great Bay University Dongguan Key Laboratory for Data Science and Intelligent Medicine Great Bay University China Technische Universität Darmstadt Darmstadt Germany
The edge partition model (EPM) is a generative model for extracting an overlapping community structure from static graph-structured data. In the EPM, the gamma process (GaP) prior is adopted to infer the appropriate n... 详细信息
来源: 评论
Optimal network slicing for service-oriented networks with flexible routing and guaranteed E2E latency
arXiv
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arXiv 2020年
作者: Chen, Wei-Kun Liu, Ya-Feng de Domenico, Antonio Luo, Zhi-Quan Dai, Yu-Hong The School of Mathematics and Statistics Beijing Key Laboratory on MCAACI Beijing Institute of Technology Beijing100081 China The State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China The Huawei Technologies Co. Ltd France Research Center Boulogne-Billancourt92100 France The Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Shenzhen518172 China
network function virtualization is a promising technology to simultaneously support multiple services with diverse characteristics and requirements in the 5G and beyond networks. In particular, each service consists o... 详细信息
来源: 评论