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检索条件"机构=High Performance Computing Laboratory Department of Computer Science and Engineering"
1183 条 记 录,以下是251-260 订阅
排序:
Federated Learning for Recognizing Private Handwritten Numbers
Federated Learning for Recognizing Private Handwritten Numbe...
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2021 IEEE International Conference on Data science and computer Application, ICDSCA 2021
作者: Wang, Di Jiang, Yuchen Zhao, Yibo Chen, Panyang Li, Ang Pan, Kun Institution of Information Engineering Chinese Academy of Sciences State Key Laboratory of Information Security Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Computer Science and Technology College of Computer Science Chongqing University Chongqing China Zibo Shiyan High School International Division Zibo Shandong China Computer Science Department of Computer Science and Software Engineering Auburn University Auburn United States Shanghai Shangde Experimental School Shanghai China School of Computing University of Leeds Leeds United Kingdom
Federated learning (FL) is a new technology in the field of machine learning, which trains an algorithm across multiple decentralized edge devices or servers holding data samples, without exchanging their data samples... 详细信息
来源: 评论
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
arXiv
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arXiv 2024年
作者: Shao, Yumeng Li, Jun Shi, Long Wei, Kang Ding, Ming Li, Qianmu Li, Zengxiang Chen, Wen Jin, Shi The School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China Data61 CSIRO Sydney Australia The Digital Economy Research Institute Nanjing University of Science and Technology Jiangsu Nanjing210094 China The Institute of High Performance Computing A*STAR Singapore The Digital Research Institute ENN Group China The Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China The National Mobile Communications Research Laboratory Southeast University Nanjing210096 China
Conventional synchronous federated learning (SFL) frameworks suffer from performance degradation in heterogeneous systems due to imbalanced local data size and diverse computing power on the client side. To address th... 详细信息
来源: 评论
A Comprehensive Cross-Model Framework for Benchmarking the performance of Quantum Hamiltonian Simulations
arXiv
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arXiv 2024年
作者: Chatterjee, Avimita Rappaport, Sonny Giri, Anish Johri, Sonika Proctor, Timothy Bernal Neira, David E. Sathe, Pratik Lubinski, Thomas Department of Computer Science & Engineering The Pennsylvania State University United States QED-C managed by SRI International United States Vanderbilt University United States Coherent Computing Inc CupertinoCA United States Quantum Performance Laboratory Sandia National Laboratories LivermoreCA94550 United States Research Institute of Advanced Computer Science Universities Space Research Association Mountain ViewCA United States Davidson School of Chemical Engineering Purdue University West LafayetteIN United States Los Alamos National Laboratory Los AlamosNM87545 United States Quantum Circuits Inc 25 Science Park New HavenCT06511 United States QED-C Technical Advisory Committee on Standards and Performance Metrics United States
Quantum Hamiltonian simulation is one of the most promising applications of quantum computing and forms the basis for many quantum algorithms. Benchmarking them is an important gauge of progress in quantum computing t... 详细信息
来源: 评论
DQPS: An Intelligent Multi-Hop Computation Offloading Scheme for Workflow Applications in Vehicular Edge computing Networks
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IEEE Transactions on Consumer Electronics 2024年
作者: Lin, Bing Chen, Qiaoxin Chen, Xing Jia, Wen-Kang Lu, Yu Xiong, Neal N. Fujian Normal University College of Physics and Energy Fujian Provincial Key Laboratory of Quantum Manipulation and New Energy Materials Fuzhou350117 China Fujian Provincial Collaborative Innovation Center for Advanced High-Field Superconducting Materials and Engineering Fuzhou350117 China Peking University School of Computer Science 100871 China Xiamen University Department of Informatics and Communication Engineering Xiamen361005 China Fuzhou University College of Computer and Data Science Fuzhou350118 China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou350118 China Fujian Normal University College of Photonic and Electronic Engineering Fuzhou350117 China Fujian Normal University Concord University College Fuzhou350117 China Sul Ross State University Department of Computer Mathematical and Physical Sciences AlpineTX79830 United States
Vehicular Edge computing (VEC) is a feasible solution for autonomous driving as it can offload latency-sensitive and computation-intensive tasks from vehicle terminals to roadside units (RSUs) for real-time processing... 详细信息
来源: 评论
Security boundaries of an optical-power limiter for protecting quantum-key-distribution systems
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Physical Review Applied 2024年 第1期21卷 014026-014026页
作者: Qingquan Peng Binwu Gao Konstantin Zaitsev Dongyang Wang Jiangfang Ding Yingwen Liu Qin Liao Ying Guo Anqi Huang Junjie Wu Institute for Quantum Information and State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha 410073 China School of Automation Central South University Changsha 410083 China China Greatwall Research Institute China Greatwall Technology Group Co. Ltd. Shenzhen 518057 China Russian Quantum Center Skolkovo Moscow 121205 Russia NTI Center for Quantum Communications National University of Science and Technology MISiS Moscow 119049 Russia Vigo Quantum Communication Center University of Vigo 36310 Vigo Spain Escuela de Ingeniería de Telecomunicación Department of Signal Theory and Communications University of Vigo 36310 Vigo Spain atlanTTic Research Center University of Vigo 36310 Vigo Spain College of Computer Science and Electronic Engineering Hunan University Changsha 410082 China School of Computer Science Beijing University of Posts and Telecommunications Beijing 100876 China
Unauthorized light injection has always been a vital threat to the practical security of a quantum-key-distribution (QKD) system. An optical-power limiter (OPL) based on the thermo-optical defocusing effect has been p... 详细信息
来源: 评论
Graph adversarial self-supervised learning  21
Graph adversarial self-supervised learning
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Proceedings of the 35th International Conference on Neural Information Processing Systems
作者: Longqi Yang Liangliang Zhang Wenjing Yang Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha China and Defense Innovation Institute Beijing China Institute of Systems Engineering AMS Beijing China Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha China
This paper studies a long-standing problem of learning the representations of a whole graph without human supervision. The recent self-supervised learning methods train models to be invariant to the transformations (v...
来源: 评论
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection
arXiv
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arXiv 2022年
作者: Zhan, Jun Wu, Chengkun Yang, Canqun Miao, Qiucheng Ma, Xiandong College of Computer Science National University of Defense Technology Changsha410073 China State Key Laboratory of High Performance Computing College of Computer Science National University of Defense Technology Changsha410073 China National SuperComputing Center Tianjin China School of Engineering Lancaster University LancasterLA1 4YW United Kingdom
Network or physical attacks on industrial equipment or computer systems may cause massive losses. Therefore, a quick and accurate anomaly detection (AD) based on monitoring data, especially the multivariate time-serie... 详细信息
来源: 评论
Scalable Multi-view Regression Clustering for Large-scale Data
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IEEE Transactions on Circuits and Systems for Video Technology 2025年
作者: Zhao, Xiaowei Fan, Jie Chang, Xiaojun Nie, Feiping Zhang, Qiang Guo, Jun Xidian University State Key Laboratory of Electromechanical Integrated Manufacturing of High-Performance Electronic Equipment Shaanxi Xi’an710071 China Xidian University Center for Complex Systems School of Mechano-Electronic Engineering Shaanxi Xi’an710071 China Northwest University School of Information Science and Technology Shaanxi Xi’an710127 China University of Science and Technology of China School of Information Science and Technology Hefei230026 China Mohamed bin Zayed University of Artificial Intelligence Department of Computer Vision MBZUAI Abu Dhabi United Arab Emirates Xi’an710072 China
In recent years, unsupervised linear regression has attracted attention for its ability to directly capture the mapping relationship between samples and targets. However, existing algorithms can only utilize limited i... 详细信息
来源: 评论
Application-level Benchmarking of Quantum computers using Nonlocal Game Strategies
arXiv
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arXiv 2023年
作者: Furches, Jim Chehade, Sarah Hamilton, Kathleen Wiebe, Nathan Marrero, Carlos Ortiz College of Computing Georgia Institute of Technology AtlantaGA30332 United States Physical Detection Systems and Deployment Division Pacific Northwest National Laboratory RichlandWA99354 United States Quantum Computational Science Group Oak Ridge National Laboratory Oak RidgeTN37830 United States Department of Computer Science University of Toronto ONM5S 1A1 Canada High Performance Computing Group Pacific Northwest National Laboratory RichlandWA99354 United States Canadian Institute for Advanced Research TorontoONM5G 1M1 Canada Department of Electrical & Computer Engineering North Carolina State University RaleighNC27607 United States
In a nonlocal game, two noncommunicating players cooperate to convince a referee that they possess a strategy that does not violate the rules of the game. Quantum strategies allow players to optimally win some games b... 详细信息
来源: 评论
New Perspectives on Recommender Systems for Industries
New Perspectives on Recommender Systems for Industries
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Artificial Intelligence for Industries (AI4I)
作者: Mouzhi Ge Giovanni Pilato Fabio Persia Daniela D’Auria Faculty of European Campus Rottal-Inn Deggendorf Institute of Technology Deggendorf Germany National Research Council of Italy Institute for High Performance Computing and Networking Palermo italy Department of Information Engineering Computer Science and Mathematics University of L’Aquila L’Aquila italy Faculty of Computer Science Free University of Bozen-Bolzano Bozen-Bolzano italy
Nowadays, recommender systems are increasingly being exploited in many industrial applications, including virtual museums and movie streaming platforms. In the last few years, some new perspectives provided by researc... 详细信息
来源: 评论