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FGFL: A blockchain-based fair incentive governor for Federated Learning Journal article
Journal of Parallel and Distributed Computing, 2022,Volume: 163,Page: 283-299
Authors:  Gao, Liang;  Li, Li;  Chen, Yingwen;  Xu, Cheng Zhong;  Xu, Ming
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/13
Attack detection  Federated Learning  Incentive mechanism  
An efficient two-level overlapping domain decomposition method for recovering unsteady sources of 3D parabolic problems Journal article
Computers and Mathematics with Applications, 2022,Volume: 111,Page: 98-108
Authors:  Deng, Xiaomao;  Liao, Zi Ju;  Cai, Xiao Chuan
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/04
Domain Decomposition  Inverse Problems  Parallel Computing  Source Identification  
A Task-Parallel and Reconfigurable FPGA-Based Hardware Implementation of Extreme Learning Machine Conference paper
ACM International Conference Proceeding Series
Authors:  Huang, Hui;  Rong, Hai Jun;  Yang, Zhao Xu
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/17
Extreme learning machine  Field-programmable gate array  Reconfigurable architecture  Task-parallel computing  
A parallel domain decomposition method for large eddy simulation of blood flow in human artery with resistive boundary condition Journal article
Computers and Fluids, 2022,Volume: 232
Authors:  Liao, Zi Ju;  Qin, Shanlin;  Chen, Rongliang;  Cai, Xiao Chuan
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/02/21
Computational Hemodynamics  Domain Decomposition  Finite Element Method  Large Eddy Simulation  Parallel Computing  Resistive Boundary Condition  
Large eddy simulation of the wind flow in a realistic full-scale urban community with a scalable parallel algorithm Journal article
Computer Physics Communications, 2022,Volume: 270
Authors:  Yan, Zhengzheng;  Chen, Rongliang;  Cai, Xiao Chuan
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/02/21
Domain Decomposition Method  Large Eddy Simulation  Parallel Computing  Unstructured Mesh  Urban Wind Flow  
The State of the Art of Metadata Managements in Large-Scale Distributed File Systems Scalability, Performance and Availability Journal article
IEEE Transactions on Parallel and Distributed Systems, 2022
Authors:  Dai, Hao;  Wang, Yang;  Kent, Kenneth B.;  Zeng, Lingfang;  Xu, Cheng Zhong
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/17
High-availability  High-performance  High-scalability  Large-scale Distributed File System  Metadata management  
Osprey: a heterogeneous search framework for spatial-temporal similarity Journal article
Computing, 2022
Authors:  Dai, Hao;  Wang, Yang;  Xu, Chengzhong
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/17
Heterogeneous similarity search  Query processing  Spatial-temporal trajectory  Spectral clustering  
Characterizing microservice dependency and performance: Alibaba trace analysis Conference paper
SoCC 2021 - Proceedings of the 2021 ACM Symposium on Cloud Computing, Seattle, WA & Online, November 1-4, 2021
Authors:  Luo, Shutian;  Xu, Huanle;  Lu, Chengzhi;  Ye, Kejiang;  Xu, Guoyao;  Zhang, Liping;  Ding, Yu;  He, Jian;  Xu, Chengzhong
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2021/12/08
Summation pollution of principal component analysis and an improved algorithm for location sensitive data Journal article
Numerical Linear Algebra with Applications, 2021,Volume: 28,Issue: 5
Authors:  Li, Jingwei;  Cai, Xiao Chuan
Favorite |  | TC[WOS]:2 TC[Scopus]:1 | Submit date：2021/12/08
Dimensionality Reduction  Domain Decomposition  Image Recognition  Parallel Computing  Principle Component Analysis  Subspace Optimization  
Computation Outsourcing Meets Lossy Channel: Secure Sparse Robustness Decoding Service in Multi-Clouds Journal article
IEEE Transactions on Big Data, 2021,Volume: 7,Issue: 4,Page: 717-728
Authors:  Yushu Zhang;  Jiantao Zhou;  Yong Xiang;  Leo Yu Zhang;  Fei Chen;  Shaoning Pang;  Xiaofeng Liao
Favorite |  | TC[WOS]:5 TC[Scopus]:5 | Submit date：2019/04/16
Parallel Compressive Sensing  Sparse Robustness Decoding Service  Packet-loss  Cloud Computing