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A Heuristic Big Data Processing Multi Task Efficient Deployment Method Based on QoS Aware Clustering and Bayesian Classification in Cloud Environment 期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2025, 卷号: 18, 期号: 5, 页码: 2517-2530
作者:  Yu, ZiYuan;  Yang, Peng;  Wu, WanJing;  Tan, Liang;  Ye, DanLian;  She, Kun
收藏  |  浏览/下载:4/0  |  提交时间:2025/12/03
Load management  Cloud computing  Big Data  Quality of service  Multitasking  Heuristic algorithms  Bayes methods  Virtual machines  Resource management  Real-time systems  big data  Bayesian classification  QoS-aware  multi-task deployment  
Causal Analysis and Risk Assessment for Batch Crowdsourcing 期刊论文
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2025, 卷号: 24, 期号: 6, 页码: 5312-5323
作者:  Chao, Ke;  Wang, Shengling;  Shi, Hongwei;  Huang, Jianhui;  Cheng, Xiuzhen
收藏  |  浏览/下载:16/0  |  提交时间:2025/06/25
Crowdsourcing  Collaboration  Mobile computing  Sensors  Scalability  Resource management  Prevention and mitigation  Multitasking  Costs  Correlation  causal inference  risk assessment  
FedICT: Federated Multi-Task Distillation for Multi-Access Edge Computing 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 卷号: 35, 期号: 6, 页码: 952-966
作者:  Wu, Zhiyuan;  Sun, Sheng;  Wang, Yuwei;  Liu, Min;  Pan, Quyang;  Jiang, Xuefeng;  Gao, Bo
收藏  |  浏览/下载:32/0  |  提交时间:2024/12/06
Computational modeling  Data models  Training  Servers  Multitasking  Adaptation models  Optimization  Distributed optimization  federated learning  knowledge distillation  multi-access edge computing  multi-task learning  
Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 卷号: 26, 页码: 7210-7224
作者:  Yuan, Jin;  Hou, Feng;  Yang, Ying;  Zhang, Yang;  Shi, Zhongchao;  Geng, Xin;  Fan, Jianping;  He, Zhiqiang;  Rui, Yong
收藏  |  浏览/下载:38/0  |  提交时间:2024/12/06
Task analysis  Feature extraction  Graph neural networks  Adaptation models  Self-supervised learning  Multitasking  Image color analysis  Multi-source domain adaptation  self-supervised learning  graph neural network  real-world applications