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Federated diabetes mellitus analysis via homomorphic encryption

Federated diabetes mellitus analysis via homomorphic encrypt...

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2020 International Seminar on Artificial Intelligence, Networking and Information Technology, AINIT 2020

作者： Xie, Yun Li, Peng Zhu, Xiang Wu, Qiuling Nanjing University of Science and Technology ZiJin College Nanjing210023 China College of Computer Science and Technology Nanjing University of Posts and Telecommunications Nanjing210003 China School of Software Engineering Jinling Institute of Technology Nanjing211169 China

Diabetes is one of the most extensive chronic diseases in the world. Most patients suffer from the disease and its complications for a long time due to the lack of accurate and standardized treatment at early stage. Therefore, by analyzing diabetes data and establishing relevant predictive models, it is very meaningful to give reasonable health advice to high-risk groups. The establishment of an accurate prediction model requires a large number of data sources as support, and multiple medical institutions participate in data contribution and collaborative learning. Federated learning provides a secure general architecture for distributed collaborative learning. However, in the process of federated learning, the data of participants is still subject to the risk of security attacks or indirect information leakage. For example, when a participant uploads the local model parameters to an honest but curious cloud server, the cloud server can obtain relevant information from the participant. In order to solve this problem, this paper proposes a federated forest algorithm based on homomorphic encryption to strengthen the protection of the data privacy of the participants while ensuring that the accuracy of data analysis does not decrease. Analysis proves that our algorithm has good performance in privacy protection and prediction accuracy. © Published under licence by IOP Publishing Ltd.

关键词： Data privacy

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Multi-agent online coordination via bayesian inverse planning

Multi-agent online coordination via bayesian inverse plannin...

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2020 International Seminar on Artificial Intelligence, Networking and Information Technology, AINIT 2020

作者： Wang, Meiming Lan, Long Yang, Wenjing Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha China

Multi-agent coordination is a classical applied engineering problem and has been widely used in daily life. To efficiently coordinate all agents in the environment, most traditional models rely on a robust communication system between agents. However, in the scenario of autonomous vehicles, building a reliable communication system is extremely expensive and is very difficult to achieve in the foreseeable future. In this paper, we propose an online multi-agent coordination mechanism for each agent in the absence of communication and explore the benefits of Bayesian inverse planning in achieving the Nash equilibrium which provides an optimal coordination solution for each participant in multi-agent environment. By deliberate design, the proposed Bayesian inverse planning enables each independent agent to infer goals and predict future actions of other agents only by simply observing the past actions of them. To make a timely response to the dynamic environment, the inferences and predictions can be flexibly adjusted accordingly with the continuously updated action information of agents. Based on future action predictions, agents take coordinated actions to achieve Nash equilibrium coordination. We designed several mixed driving scenarios in the real world to test our model, and simulation results show that our model is efficient and flexible, compared with an optimal model and a heuristic model. © Published under licence by IOP Publishing Ltd.

关键词： Forecasting

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A P300-based Brain computer Interface Using Stereo-electroencephalography Signals 41

A P300-based Brain Computer Interface Using Stereo-electroen...

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41st Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Huang, Weichen Yu, Tianyou Xiao, Jing Guo, Qiang Li, Yuanqing South China Univ Technol Sch Automat Sci & Engn Guangzhou 510640 Peoples R China Guangdong 999 Brain Hosp Epilepsy Treatment Ctr Guangzhou 510510 Peoples R China

ISBN: (纸本)9781538613115

Stereo-electroencephalography (SEEG) signals can be obtained by implanting deep intracranial electrodes, which are currently used for epileptic diagnosis. In this study, we implemented a P300-based Brain computer Interface (BCI) using SEEG signals. 40 buttons corresponding to 40 numbers displayed in a graphical user interface (GUI) were intensified in a random order. To select a number, the user could focus on the corresponding button when it was flashing. Five epileptic patients implanted with SEEG electrodes attended the experiment and achieved an average online accuracy of 97.33%. Moreover, through single contact decoding and simulated online analysis, we found that these subjects achieved an average accuracy of 82.00% using a single channel of signal. These results indicated that our SEEG-based BCI had a high performance, which was mainly because of the high quality of SEEG signals.

关键词： Electroencephalography

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Method for Determining Prime and Relatively Prime Numbers of 2n+k Type Based on the Periodicity Property

Method for Determining Prime and Relatively Prime Numbers of...

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International conference on Advanced computer Information Technologies (ACIT)

作者： Igor Yakymenko Mykhailo Kasianchuk Stepan Ivasiev Ruslan Shevchuk Yuriy Batko Vladyslav Vasylkiv Department of cyber security Ternopil National Economic University Ternopil Ukraine Department of Computer Science Ternopil National Economic University Ternopil Ukraine Department of Computer Engineering Ternopil National Economic University Ternopil Ukraine

ISBN: (数字)9781728167602

ISBN: (纸本)9781728167619

The paper presents theoretical bases for determining the conditions for the divisibility of numbers of 2 n +k type using the periodicity property of modulo prime arithmetic. The proposed approach on the basis of the developed analytical expressions allows us to find prime and relatively prime numbers and solve the problem of factorization. The results obtained can be used as a basis for building high-performance special-purpose processors aimed at solving the above-mentioned problems. An example of application of the developed method for determining the divisibility of numbers of 2 n + type by prime numbers in the range from 3 to 147 is given.

关键词： Cryptography Economics Mathematics computer security program processors Buildings

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Progressive Unsupervised Domain Adaptation for Image-based Person Re-Identification

Progressive Unsupervised Domain Adaptation for Image-based P...

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International conference on Pattern Recognition

作者： Mingliang Yang Jing Zhao Da Huang Ji Wang Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9781728188089;9781728188096

Unsupervised domain adaptation (UDA) has emerged as an effective paradigm for reducing the huge manual annotation cost for Person Re-Identification (Re-ID). Many of the recent UDA methods for Re-ID are clustering-based and select all the pseudo-label samples in each iteration for the model training. However, there are many wrong labeled samples that will mislead the model optimization under this circumstance. To solve this problem, we propose a Progressive Unsupervised Domain Adaptation (PUDA) framework for image-based Person Re-ID to reduce the negative effect of wrong pseudo-label samples on the model training process. Specifically, we first pretrain a CNN model on a labeled source dataset, then finetune the model on unlabeled target dataset with the following three steps iteratively: 1) estimating pseudo-labels for all the images in the target dataset with the model trained in the last iteration; 2) extending the training set by adding pseudo-label samples with higher label confidence; 3) updating the CNN model with the expanded training set in a supervised manner. During the iteration process, the number of pseudo-label samples added increased progressively. In particular, a Moderate Initial Selections (MIS) strategy for pseudo-label sampling is also proposed to reduce the negative impacts of random noise features in the early iterations and mislabeled samples in the late iterations on the model. The proposed framework with MIS strategy is validated on the Duke-to-Market, Market-to-Duke unsupervised domain adaptation tasks and achieves improvements of 4.2 points (absolute, i.e., 80.0% vs. 75.8%) and 1.7 points (absolute, i.e., 70.7% vs. 69.0%) in mAP correspondingly.

关键词： Training Adaptation models Annotations Manuals Feature extraction Pattern recognition Reliability

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The Study of Three Level Parallelisms in Ray Tracing Algorithm 19

The Study of Three Level Parallelisms in Ray Tracing Algorit...

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2nd International conference on computer Science and Software Engineering (CSSE)

作者： Wei, Hui Zhao, Yaqian Li, Rengang Inspur Grp Co Ltd State Key Lab High End Server & Storage Technol Beijing 100085 Peoples R China

ISBN: (纸本)9781450371728

Ray tracing has been considered as the next generation CG technology as its photorealistic rendering results. However, heavy computation load is a bottleneck which hindering its popularization. Hardware acceleration has been proved to be an effective method for the efficiency improvement of ray tracing and many related works have been published. In this work, we study three level parallelisms existing in ray tracing and analyze the feasible parallel patterns for each level. Times consumed by different steps of the tracing process are tested and the key factors affecting computation efficiency are pointed out based on experiment results. Latency caused by extern memory accessing is explored and data caching using high speed storage resource is applied to improve the data accessing performance. We also show the influence of context data coupling of instructions on calculation speed and make clear the main obstacle for achieving high tracing efficient. Results in this paper will contribute to hardware acceleration of ray tracing algorithm and design of acceleration devices.

关键词： Ray tracing Photorealistic rendering Parallel computation Hardware acceleration

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Message from the program Chairs and Industry Panel Chairs

Message from the Program Chairs and Industry Panel Chairs

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International conference on Advanced Computing and Applications (ACOMP)

作者： Maurizio Marchese Lam-Son Lê Bob Dao Michel Toulouse Nam Thoai University of Trento Italy Monash University Australia Hanoi University of Science and Technology Vietnam

ISBN: (数字)9781728181677

ISBN: (纸本)9781728181684

The International conference on Advanced COMPuting and Applications (ACOMP) is an annual, multitrack international forum for academics, engineers, practitioners and research students to exchange their ideas, techniques, methods, and state-of-the-art applications for advanced computing. Initially formed as a scientific venue for high-performance computing & advanced applications, the conference kept expanding and had a pedigree of attracting international and Vietnamese participants who both are interested in advanced topics of computer science & engineering. The first occurrence of ACOMP was dated back to as early as 2007.

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Scalability of Hybrid SpMV on Intel Xeon Phi Knights Landing

Scalability of Hybrid SpMV on Intel Xeon Phi Knights Landing

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2019 International conference on high performance Computing and Simulation, HPCS 2019

作者： Page, Brian A. Kogge, Peter M. Univ. of Notre Dame Dept. of Computer Science and Engineering Notre DameIN46556 United States

ISBN: (纸本)9781728144849

SpMV, the product of a sparse matrix and a dense vector, is emblematic of a new class of applications that are memory bandwidth and communication, not flop, driven. Sparsity and randomness in such computations play havoc with performance, especially when strong, instead of weak, scaling is attempted. In this study we develop and evaluate a hybrid implementation for strong scaling of the Compressed Vectorization-oriented sparse Row (CVR) approach to SpMV on a cluster of Intel Xeon Phi Knights Landing (KNL) processors. We show how our hybrid SpMV implementation achieves increased computational performance, yet does not address the dominant communication overhead factor at extreme scale. Issues with workload distribution, data placement, and remote reductions are assessed over a range of matrix characteristics. Our results indicate that as P rightarrowinfty communication overhead is by far the dominant factor despite improved computational performance. © 2019 IEEE.

关键词： Matrix algebra

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Building quick resource index list using wordnet and high-performance computing resource ontology towards efficient resource discovery 21

Building quick resource index list using wordnet and high-pe...

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21st IEEE International conference on high performance Computing and Communications, 17th IEEE International conference on Smart City and 5th IEEE International conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Zhou, Aolong Ren, Kaijun Li, Xiaoyong Zhang, Wen Ren, Xiaoli College of Meteorology and Oceanology National University of Defense Technology China College of Computer National University of Defense Technology China

ISBN: (纸本)9781728120584

high-performance computing (HPC) has played a significant role in scientific discovery and technological innovation, but resources distributed in cross-regional supercomputing centers are still used inefficiently and hard to be managed uniformly, due to various challenging issues like the complex resource types, the heterogeneous interfaces of the resource management software, the inefficient coordination of software and hardware, and the lack of available and standardized description specification model. In this paper, we first propose a HPC resource ontology model called HPCRO to define the concepts of hardware resources and software resources, and specifies types, attributes, logical relations, and data transfer among resources. Moreover, based on the proposed model, we further propose a method called WordNet-based Quick Resource Index List (WQRIL) to support efficient HPC resources discovery. Specifically, the method extends and optimizes the existing method with Quick Service Quick List (QSQL) by extracting synonyms of ontology concepts from WordNet. The method not only can provide a unified representation of HPC resources, but also can support semantic-based fuzzy matching. More importantly, it improves the usability and utilization of hardware and software resources effectively in cross-regional high-performance computing centers. Extensive experiments have been conducted to verify the effectiveness and efficiency of our proposals. © 2019 IEEE.

关键词： Ontology

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RepEC-Duet: Ensure high Reliability and performance for Deduplicated and Delta-Compressed Storage Systems 37

RepEC-Duet: Ensure High Reliability and Performance for Dedu...

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37th IEEE International conference on computer Design (ICCD)

作者： Zuo, Chunxue Fang, Wang Huang, Ping Hu, Yuchong Feng, Dan Huazhong Univ Sci & Technol Sch Comp Sci & Technol Minist Educ China Wuhan Natl Lab OptoelectKey Lab Informat Storage Wuhan Peoples R China Temple Univ Dept Comp & Informat Sci Philadelphia PA 19122 USA

ISBN: (纸本)9781538666487

Data deduplication is a widely deployed technique to remove duplicate content to save storage space, which is however incapable of eliminating the redundancy between nonidentical but similar data blocks. To achieve further space savings in deduplicated storage systems, delta compression is employed to compress post-deduplication data. Both deduplication and delta compression introduce content references among blocks, which inevitably undermines the reliability of deduplicated and delta compressed storage systems. To ensure better reliability, existing approaches utilize either replication or erasure codes to redundantly distribute data across multiple nodes. In deduplicated and delta compressed storage systems, we observe that delta compressed chunks (DCCs) are far smaller than regular chunks called non-DCCs. Motivated by this observation, we suggest a straightforward approach in which replication is used to protect DCCs and erasure code is deployed to protect non-DCCs. However, we need to address two critical challenges to ensure this solution effective. First, the random placement of DCCs replicas destroys cache locality. Second, the separate and individual recovery and restore cache could cause storage containers to be accessed repeatedly. To address these two challenges, in this paper, we propose RepEC-Duet which employs both replication and erasure codes to ensure high reliability and performance for deduplicated and delta-compressed storage systems. RepEC-Duet introduces a delta-utilization-aware filter to select and replicate containers based on the percentage of DCCs in the containers to maintain cache locality. Moreover, to avoid unnecessary container reads, we design a cooperative cache scheme that is aware of both failure recovery and regular restore cache. Our experimental results based on three real-world datasets demonstrate that RepEC-Duet significantly improves the restore performance by 26%-59%, and reduces the storage overhead by 54%-98% than the e

关键词： Data deduplication Delta compression Reliability Restore performance

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