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检索条件"机构=Department of Data Science and Computing Systems"
769 条 记 录,以下是521-530 订阅
排序:
Learning-based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum computing
arXiv
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arXiv 2022年
作者: Xu, Minrui Niyato, Dusit Kang, Jiawen Xiong, Zehui Chen, Mingzhe School of Computer Science and Engineering Nanyang Technological University Singapore School of Automation Guangdong University of Technology China Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore487372 Singapore Department of Electrical and Computer Engineering Institute for Data Science and Computing University of Miami Coral GablesFL33146 United States
In this paper, a novel paradigm of mobile edge-quantum computing (MEQC) is proposed, which brings quantum computing capacities to mobile edge networks that are closer to mobile users (i.e., edge devices). First, we pr... 详细信息
来源: 评论
Artificial Intelligence-based Service Chains Scheduling for Medical Emergency in Healthcare
Artificial Intelligence-based Service Chains Scheduling for ...
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International Conference on Contemporary computing and Informatics (IC3I)
作者: Mukesh Soni Maher Ali Rusho Haewon Byeon Azzah AlGhamdi Shaikh Abdul Hannan Parth Rameshchandra Dave Dr. D. Y. Patil Vidyapeeth Dr. D. Y. Patil School of Science & Technology Tathawade Pune Marashtra Department of Lockheed Martin Engineering Management University of Colorado Boulder Colorado Department of AI and Software & Medical Big Data Research Centre Inje University Gimhae Republic of Korea Computer Information Systems Department College of Computer Science and Information Technology Imam Abdalrhman Bin Faisal University Khobar Saudi Arabia Faculty of Computing and Information AlBaha University AlBaha Kingdom of Saudi Arabia Department of Computer Engineering L. D. College of Engineering Ahmedabad Gujarat India
This study analyses the weekly scheduling challenge of health and medical information network service function chains to meet medical emergency categorization and grading needs. Emergency services are divided into fou... 详细信息
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Deep learning for community detection: Progress, challenges and opportunities  29
Deep learning for community detection: Progress, challenges ...
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29th International Joint Conference on Artificial Intelligence, IJCAI 2020
作者: Liu, Fanzhen Xue, Shan Wu, Jia Zhou, Chuan Hu, Wenbin Paris, Cecile Nepal, Surya Yang, Jian Yu, Philip S. Department of Computing Macquarie University Sydney Australia CSIRO's Data61 Sydney Australia Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China School of Computer Science Wuhan University Wuhan China Department of Computer Science University of Illinois at Chicago Chicago United States
As communities represent similar opinions, similar functions, similar purposes, etc., community detection is an important and extremely useful tool in both scientific inquiry and data analytics. However, the classic m... 详细信息
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Depth-Aware Multi-Modal Fusion for Generalized Zero-Shot Learning
Depth-Aware Multi-Modal Fusion for Generalized Zero-Shot Lea...
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IEEE International Conference on Industrial Informatics (INDIN)
作者: Weipeng Cao Xuyang Yao Zhiwu Xu Yinghui Pan Yixuan Sun Dachuan Li Bohua Qiu Muheng Wei Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen) Shenzhen China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China College of Computer Science and Software Engineering Shenzhen University Shenzhen China Stony Brook University New York United States Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen China Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China ZhenDui Industry Artificial Intelligence Co. Ltd Shenzhen China Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China
Realizing Generalized Zero-Shot Learning (GZSL) based on large models is emerging as a prevailing trend. However, most existing methods merely regard large models as black boxes, solely leveraging the features output ... 详细信息
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GradSA: Gradient Sparsification and Accumulation for Communication-Efficient Distributed Deep Learning  15th
GradSA: Gradient Sparsification and Accumulation for Communi...
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15th International Conference on Green, Pervasive, and Cloud computing, GPC 2020
作者: Liu, Bo Jiang, Wenbin Zhao, Shaofeng Jin, Hai He, Bingsheng National Engineering Research Center for Big Data Technology and System Service Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan China Wuhan National Laboratory for Optoelectronics Key Laboratory of Information Storage System Engineering Research Center of Data Storage Systems and Technology Huazhong University of Science and Technology Wuhan China Library Henan University of Economics and Law Zhengzhou China Department of Computer Science School of Computing National University of Singapore Singapore Singapore
Large-scale distributed deep learning is of great importance in various applications. For distributed training, the inter-node gradient communication often becomes the performance bottleneck. Gradient sparsification h... 详细信息
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Continual Reinforcement Learning for Digital Twin Synchronization Optimization
arXiv
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arXiv 2025年
作者: Tong, Haonan Chen, Mingzhe Zhao, Jun Hu, Ye Yang, Zhaohui Liu, Yuchen Yin, Changchuan The Beijing Key Laboratory of Network System Architecture and Convergence The Beijing Advanced Information Network Laboratory Beijing University of Posts and Telecommunications Beijing China Singapore The Department of Electrical and Computer Engineering Frost Institute for Data Science and Computing University of Miami Coral GablesFL33146 United States The Department of Industrial and Systems Engineering University of Miami Coral GablesFL33146 United States The College of Information Science and Electronic Engineering Zhejiang University Zhejiang Hangzhou310027 China The Department of Computer Science North Carolina State University RaleighNC27695 United States The Beijing Key Laboratory of Network System Architecture and Convergence China The Beijing Advanced Information Network Laboratory Beijing University of Posts and Telecommunications Beijing100876 China
This article investigates the adaptive resource allocation scheme for digital twin (DT) synchronization optimization over dynamic wireless networks. In our considered model, a base station (BS) continuously collects f... 详细信息
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Inverse learning of black-box aggregator for robust Nash equilibrium
arXiv
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arXiv 2024年
作者: Chen, Guanpu Xu, Gehui He, Fengxiang Tao, Dacheng Parisini, Thomas Johansson, Karl Henrik Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm100 44 Sweden Digital Futures Stockholm100 44 Sweden Artificial Intelligence and its Applications Institute School of Informatics University of Edinburgh EdinburghEH8 9AB United Kingdom College of Computing & Data Science Nanyang Technological University Singapore639798 Singapore Department of Electrical and Electronic Engineering Imperial College London LondonSW7 2AZ United Kingdom Department of Engineering and Architecture University of Trieste Trieste34127 Italy
In this note, we investigate the robustness of Nash equilibria (NE) in multi-player aggregative games with coupling constraints. There are many algorithms for computing an NE of an aggregative game given a known aggre... 详细信息
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Engineering single-molecule fluorescence withasymmetric nano-antennas
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Light(science & Applications) 2021年 第5期10卷 858-866页
作者: Wenqi Zhao Xiaochaoran Tian Zhening Fang Shiyi Xiao Meng Qiu Qiong He Wei Feng Fuyou Li Yuanbo Zhang Lei Zhou Yan-Wen Tan State Key Laboratory of Surface Physics and Department of Physics Fudan UniversityShanghai 200433China Shanghai Institute for Advanced Communication and Data Science Shanghai UniversityShanghai 200444China Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced CommunicationShanghai UniversityShanghai 200444China Department of Chemistry and State Key Laboratory of Molecular Engineering of Polymers Fudan UniversityShanghai 200433China Institute for Nanoelectronic Devices and Quantum Computing Fudan UniversityShanghai 200433China Collaborative Innovation Center of Advanced Microstructures Nanjing 210093China Multiscale Research Institute of Complex Systems Fudan UniversityShanghai 200433China
As a powerful tool for studying molecular dynamics in bioscience,single-molecule fluorescence detection providesdynamical information buried in ensemble *** in the near-infrared(NIR)is particularly usefulbecause it of... 详细信息
来源: 评论
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous computing Environments with APPFLx
arXiv
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arXiv 2023年
作者: Hoang, Trung-Hieu Fuhrman, Jordan Madduri, Ravi Li, Miao Chaturvedi, Pranshu Li, Zilinghan Kim, Kibaek Ryu, Minseok Chard, Ryan Huerta, E.A. Giger, Maryellen Department of Electrical and Computer Engineering Coordinated Science Laboratory University of Illinois at Urbana-Champaign Street UrbanaIL61801 United States University of Chicago ChicagoIL United States Data Science and Learning Division Argonne National Laboratory LemontIL United States Department of Computer Science University of Illinois at Urbana-Champaign Street UrbanaIL61801 United States School of Industrial and Systems Engineering Georgia Institute of Technology AtlantaGA United States School of Computing Augmented Intelligence Arizona State University TempeAZ United States
Facilitating large-scale, cross-institutional collaboration in biomedical machine learning projects requires a trustworthy and resilient federated learning (FL) environment to ensure that sensitive information such as... 详细信息
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Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization
arXiv
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arXiv 2024年
作者: Deng, Xiumei Li, Jun Wei, Kang Shi, Long Xiong, Zeihui Ding, Ming Chen, Wen Jin, Shi Poor, H. Vincent School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China The Department of Computing Hong Kong Polytechnic University 999077 Hong Kong The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore Data61 CSIRO SydneyNSW2015 Australia Department of Electronics Engineering Shanghai Jiao Tong University Shanghai200240 China The National Mobile Communications Research Laboratory Southeast University Nanjing210096 China Department of Electrical and Computer Engineering Princeton University NJ08544 United States
Adaptive moment estimation (Adam), as a Stochastic Gradient Descent (SGD) variant, has gained widespread popularity in federated learning (FL) due to its fast convergence. However, federated Adam (FedAdam) algorithms ... 详细信息
来源: 评论