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检索条件"机构=Key Laboratory for Embedded and Network Computing"
112 条 记 录,以下是91-100 订阅
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FedDDB: Clustered Federated Learning based on Data Distribution Difference  22
FedDDB: Clustered Federated Learning based on Data Distribut...
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Proceedings of the 2022 5th International Conference on Algorithms, computing and Artificial Intelligence
作者: Chengyu You Zihao Lu Junli Wang Chungang Yan Key Laboratory of Embedded System and Service Computing (Tongji University) Ministry of Education China and National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security Tongji University China
Clustered federated learning is a federated learning method based on multi-task learning. It groups similar clients into the same clusters and shares model parameters to solve the problem that the joint model is trapp... 详细信息
来源: 评论
A Dual-stage Attention Based SDN Traffic Prediction Method
A Dual-stage Attention Based SDN Traffic Prediction Method
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IEEE International Conference on Big Data and Cloud computing (BdCloud)
作者: Chenjing Gao Junli Wang Chungang Yan Key Laboratory of Embedded System and Service Computing (Tongji University) Ministry of Education National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security Tongji University Shanghai China
Traffic matrix is the main research object of traffic prediction in software-defined networking. Accurate and timely traffic matrix prediction plays an important role in avoiding network congestion. While various meth... 详细信息
来源: 评论
Software-Defined Edge computing: A New Architecture Paradigm to Support IoT Data Analysis
arXiv
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arXiv 2021年
作者: Wu, Di Xie, Xiaofeng Nie, Xiang Fu, Bin Deng, Hanhui Zeng, Haibo Qin, Zhijin Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University China Department of Electrical and Computer Engineering Virginia Tech United States EECS Queen Mary University of London United Kingdom
—The rapid deployment of Internet of Things (IoT) applications leads to massive data that need to be processed. These IoT applications have specific communication requirements on latency and bandwidth, and present ne... 详细信息
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LAMPT: LAbel Mask-Predicted Transformer for Extreme Multi-label Text Classification
LAMPT: LAbel Mask-Predicted Transformer for Extreme Multi-la...
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IEEE International Conference on Big Data
作者: Yifan Xu Minghao Zhu Junli Wang Chungang Yan Key Laboratory of Embedded System and Service Computing (Tongji University) Ministry of Education. National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security Tongji University Shanghai China
Extreme Multi-label text Classification ( XMC) is a task of recalling the most relevant labels for each given text from an extremely large-scale label set. It is emphasized that XMC is a more complex classification ta... 详细信息
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A Real-Time CAN-CAN Gateway with Tight Latency Analysis and Targeted Priority Assignment
A Real-Time CAN-CAN Gateway with Tight Latency Analysis and ...
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Real-Time Systems Symposium (RTSS)
作者: Guoqi Xie Haijie Gong Yunbo Han Samarjit Chakraborty Wanli Chang College of Computer Science and Electronic Engineering Hunan University China Key Laboratory for Embedded and Network Computing of Hunan Province China Future Network Lab CSIG Tencent China University of North Carolina at Chapel Hill USA University of York UK
There is a demand in the automotive industry to connect two CAN-based subsystems. The commercial CAN-CAN gateway supports basic message forwarding with no real-time behavior. To address this issue, a new gateway archi... 详细信息
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An Energy-efficient Traffic Scheduling Method based on Slime Mould Algorithm for SDN
An Energy-efficient Traffic Scheduling Method based on Slime...
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International Conference on Information Systems and Computer networks (ISCON)
作者: Zheyuan Wang Junli Wang Chungang Yan Ministry of Education Key Laboratory of Embedded System and Service Computing (Tongji University) Shanghai China National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security Tongji University Shanghai China
Software defined network (SDN) enables efficient and green traffic management by separating the control and data planes. However, the existing itemized scheduling approach is prone to waste of network resources and en... 详细信息
来源: 评论
RELIABILITY-DRIVEN REAL-TIME TASK REPLICATION FOR FAULT TOLERANCE IN HIERARCHICAL SCHEDULING MULTIPROCESSOR SYSTEMS
RELIABILITY-DRIVEN REAL-TIME TASK REPLICATION FOR FAULT TOLE...
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2013IET International Conference on Information and Communication Technologies(IETICT2013)2013IET信息与通信技术国际会议
作者: Lin Liu Renfa Li Rui Li Yong Xie Qingguang Zeng Key Laboratory for Embedded and Network Computing of Hunan Province Hunan UniversityChangshaChina
The increasing complexity of systems poses a big challenge to design systems with fault-tolerant *** aim of this study was to establish fault-tolerant system for multiprocessor platform with the help of hierarchical s... 详细信息
来源: 评论
Cyber-Physical Systems Design in An Uncertain Environment with Time Uncertainty Concern
Cyber-Physical Systems Design in An Uncertain Environment wi...
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International Conference on Parallel and Distributed Systems (ICPADS)
作者: Si Chen Lida Huang Xiongren Xiao Yan Liu Guoqi Xie Renfa Li College of Computer Science and Electronic Engineering Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Changsha China Center for Convergence of Automobile and Cyberspace Research Institute of Hunan University in Chongqing Chongqing China
Multiple processors system on chip (MPSoC) has been the trend in cyber-physical systems (CPSs), and reasonable partitioning for MPSoC resources is a critical step in CPSs design. The uncertainties of environment and t...
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CityGPT: Towards Urban IoT Learning, Analysis and Interaction with Multi-Agent System
arXiv
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arXiv 2024年
作者: Guan, Qinghua Ouyang, Jinhui Wu, Di Yu, Weiren Zhu, Yi Yuan, Xiang The Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Hunan Changsha410082 China The Department of Computer Science University of Warwick CoventryCV4 7AL United Kingdom
The spatiotemporal data generated by massive sensors in the Internet of Things (IoT) is extremely dynamic, heterogeneous, large scale and time-dependent. It poses great challenges (e.g. accuracy, reliability, and stab... 详细信息
来源: 评论
An Improved Convolutional Neural network Algorithm for Multi-Label Classification
An Improved Convolutional Neural Network Algorithm for Multi...
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International Conference on Audio, Language and Image Processing, ICALIP
作者: Xinsheng Wang Lijun Sun Zhihua Wei Department of Computer Science and Technology Tongji University Shanghai China Research Center of Big Data and Network Security Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China
Recent years conventional neural network(CNN) has been applied to different natural language processing(NLP) tasks such as sentence classification, sentence modeling, etc. Some researchers use CNN to do multi-label cl... 详细信息
来源: 评论