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检索条件"机构=MoE Engineering Research Center of Software/Hardware Co-Design Technology and Application"
183 条 记 录,以下是61-70 订阅
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CBPGM: A Cache Based Piecewise Geometric Model Index
CBPGM: A Cache Based Piecewise Geometric Model Index
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2022 IEEE International conference on Systems, Man, and Cybernetics, SMC 2022
作者: Xu, Xiaopei Cao, Guitao Li, Yan MoE Engineering Research Center of SW/HW Co-design Technology and Application Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai200062 China
Recent works on learned indexes have changed the way we look at the decades-old field of Database Management System indexing. However, they are limited to too many hyperparameters, long model construction time, and no... 详细信息
来源: 评论
Towards Efficient Workflow Scheduling Over Yarn Cluster Using Deep Reinforcement Learning
Towards Efficient Workflow Scheduling Over Yarn Cluster Usin...
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IEEE conference on Global communications (GLOBEcoM)
作者: Jianguo Xue Ting Wang Puyu Cai MoE Engineering Research Center of Software/Hardware Co-design Technology and Application Shanghai Key Lab. of Trustworthy Computing East China Normal University China Department of Computer Science and Engineering Michigan State University USA
Hadoop Yarn is an open-source cluster manager responsible for resource management and job scheduling. However, data-driven applications are typically organized into workflows that consist of a series of jobs with depe...
来源: 评论
Green Federated Learning over Cloud-RAN with Limited Fronthaul and Quantized Neural Networks
Green Federated Learning over Cloud-RAN with Limited Frontha...
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communications and Networking (Meditcom), IEEE International Mediterranean conference on
作者: Jiali Wang Yijie Mao Ting Wang Yuanming Shi MoE Engineering Research Center of Software/Hardware Co-Design Technology and Application Shanghai Key Lab. of Trustworthy Computing East China Normal University China School of Information Science and Technology (SIST) ShanghaiTech University China
In this paper, we investigate a green federated learning (FL) framework over cloud radio access network (Cloud-RAN) system that comprises a server, multiple devices and remote radio heads (RRHs). Each device utilizes ...
来源: 评论
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance
arXiv
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arXiv 2024年
作者: Xia, Zeke Hu, Ming Yan, Dengke Xie, Xiaofei Li, Tianlin Li, Anran Zhou, Junling Chen, Mingsong The MoE Engineering Research Center of Hardware/Software Co-Design Technology and Application East China Normal University Shanghai200062 China Singapore Management University Singapore Nanyang Technological University Singapore Yale University United States Nanjing University of Science and Technology Nanjing China
Federated Learning (FL) as a promising distributed machine learning paradigm has been widely adopted in Artificial Intelligence of Things (AIoT) applications. However, the efficiency and inference capability of FL is ... 详细信息
来源: 评论
Green Federated Learning Over Cloud-RAN with Limited Fronthual Capacity and Quantized Neural Networks
arXiv
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arXiv 2023年
作者: Wang, Jiali Mao, Yijie Wang, Ting Shi, Yuanming MoE Engineering Research Center of Software/Hardware Co-design Technology and Application The Shanghai Key Laboratory of Trustworthy Computing Software Engineering Institute East China Normal University Shanghai200062 China School of Information Science and Technology ShanghaiTech University Shanghai201210 China
In this paper, we propose an energy-efficient federated learning (FL) framework for the energy-constrained devices over cloud radio access network (Cloud-RAN), where each device adopts quantized neural networks (QNNs)... 详细信息
来源: 评论
Hyperbolic Graph Diffusion Model
arXiv
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arXiv 2023年
作者: Wen, Lingfeng Tang, Xuan Ouyang, Mingjie Shen, Xiangxiang Yang, Jian Zhu, Daxin Chen, Mingsong Wei, Xian MoE Engineering Research Center of Hardware/Software Co-design Technology and Application East China Normal University China School of Communication and Electronic Engineering East China Normal University China Information Engineering University Quanzhou Normal University China
Diffusion generative models (DMs) have achieved promising results in image and graph generation. However, real-world graphs, such as social networks, molecular graphs, and traffic graphs, generally share non-Euclidean... 详细信息
来源: 评论
Archer: adaptive memory compression with page-association-rule awareness for high-speed response of mobile devices  25
Archer: adaptive memory compression with page-association-ru...
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Proceedings of the 23rd USENIX conference on File and Storage Technologies
作者: Changlong Li Zongwei Zhu Chao Wang Fangming Liu Fei Xu Edwin H.-M. Sha Xuehai Zhou School of Computer Science and Technology East China Normal University and Jianghuai Advance Technology Center Hefei China and MoE Engineering Research Center of Hardware/Software Co-Design Technology and Application School of Software Engineering University of Science and Technology of China Hefei China and Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou China Huazhong University of Science and Technology and Peng Cheng Laboratory School of Computer Science and Technology East China Normal University
In mobile systems, memory can be compressed page-by-page to save space. This approach is widely adopted because memory data is accessed by page. However, this paper shows that the system response speed is significantl...
来源: 评论
Federated Linear Bandit Learning via Over-the-air computation
arXiv
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arXiv 2023年
作者: Wang, Jiali Jiang, Yuning Liu, Xin Wang, Ting Shi, Yuanming MoE Engineering Research Center of Software/Hardware Co-design Technology and Application Shanghai Key Lab. of Trustworthy Computing East China Normal University China Automatic Control Laboratory EPFL Switzerland ShanghaiTech University China
In this paper, we investigate federated contextual linear bandit learning within a wireless system that comprises a server and multiple devices. Each device interacts with the environment, selects an action based on t... 详细信息
来源: 评论
SAMPLE EFFICIENT LUNG SEGMENTATION USING GROUP STRUCTURED coNDITIONAL VARIATIONAL DATA IMPUTATION
SAMPLE EFFICIENT LUNG SEGMENTATION USING GROUP STRUCTURED CO...
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2021 IEEE International conference on Multimedia and Expo, ICME 2021
作者: Li, Yan Cao, Guitao Cao, Wenming MOE Research Center for Software/Hardware Co-Design Engineering East China Normal University China College of Information Engineering Shenzhen University China
Patients infected with coVID-19 can lead to their Chest X-rays (CXRs) with opacifications rendered regions, which may produce incomplete lung segmentation in automated image analysis models. To tackle this issue, we p... 详细信息
来源: 评论
DCFG: Discovering Directional counterFactual Generation for Chest X-rays
DCFG: Discovering Directional CounterFactual Generation for ...
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2021 IEEE International conference on Bioinformatics and Biomedicine, BIBM 2021
作者: Li, Yan Liu, Shasha Wu, Chunwei Xi, Xidong Cao, Guitao Cao, Wenming East China Normal University MOE Research Center for Software/Hardware Co-Design Engineering China Shenzhen University College of Information Engineering China
While Deep Neural Networks (DNNs) are achieving state-of-the-art performance on medical domains across a variety of tasks, the need for explainability of model predictions in these high-stakes tasks is still lacking. ... 详细信息
来源: 评论