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检索条件"任意字段=16th International Conference and Workshops on Algorithms and Computation"

共 216 条记录，以下是81-90 订阅

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Faster Privacy-Preserving computation of Edit Distance with Moves 14th

Faster Privacy-Preserving Computation of Edit Distance with ...

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14th international conference and workshops on algorithms and computation (WALCOM)

作者： Yoshimoto, Yohei Kataoka, Masaharu Takabatake, Yoshimasa Tomohiro, I Shin, Kilho Sakamoto, Hiroshi Kyushu Inst Technol 680-4 Kawazu Iizuka Fukuoka 8208502 Japan Gakushuin Univ Toshima Ku 1-5-1 Mejiro Tokyo 1718588 Japan

ISBN: (纸本)9783030398811;9783030398804

We consider an efficient two-party protocol for securely computing the similarity of strings w.r.t. an extended edit distance measure. Here, two parties possessing strings x and y, respectively, want to jointly compute an approximate value for EDM(x, y), the minimum number of edit operations including substring moves needed to transform x into y, without revealing any private information. Recently, the first secure two-party protocol for this was proposed, based on homomorphic encryption, but this approach is not suitable for long strings due to its high communication and round complexities. In this paper, we propose an improved algorithm that significantly reduces the round complexity without sacrificing its cryptographic strength. We examine the performance of our algorithm for DNA sequences compared to previous one.

关键词： DNA sequences

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Business Process Management workshops 1

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丛书名： Lecture Notes in Business Information Processing

1000年

作者： Jochen De Weerdt Luise Pufahl

ISBN: (数字)9783031509742

ISBN: (纸本)9783031509735

this book constitutes revised papers from the international workshops held at the 21st international conference on Business Process Management, BPM 2023, in Utrecht, the Netherlands, during September 2023.;Papers from the following workshops are included:;• 7th international Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2023);• 7th international Workshop on Business Processes Meet Internet-of-things (BP-Meet-IoT 2023);• 19th international Workshop on Business Process Intelligence (BPI 2023);• 16th international Workshop on Social and Human Aspects of Business Process Management (BPMS2 2023);• 2nd international Workshop on Data-Driven Business Process Optimization (BPO 2023);• 11th international Workshop on Declarative, Decision and Hybrid Approaches to Processes (DEC2H 2023);• 1st international Workshop on Digital Twins for Business Processes (DT4BP 2023);• 1st international Workshop on Formal Methods for Business Process Management (FM-BPM 2023);• 2nd international Workshop on Natural Language Processing for Business Process Management (NLP4BPM 2023);• 1st international Workshop on Object-Centric Processes from A to Z (OBJECTS 2023);• 3rd international Workshop on Change, Drift, and Dynamics of Organizational Processes (ProDy 2023);Each of the workshops focused on particular aspects of business process management. Overall, after a thorough review process, 42 full papers were selected from a total of 86 submissions.

关键词： Business Process Management Business Information Systems Data Mining and Knowledge Discovery Statistics, general

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Optimal Multi-access computation Offloading for Mobile Blockchain 16

Optimal Multi-access Computation Offloading for Mobile Block...

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16th IEEE international conference on Communication Systems (IEEE ICCS)

作者： Wu, Yuan Shi, Jiajun Chen, Xiangxu Ni, Kejie Qian, Li Ping Zhang, Kuan Zhejiang Univ Technol Coll Informat Engn Hangzhou 310023 Zhejiang Peoples R China Univ Nebraska Dept Elect & Comp Engn Lincoln NE USA

ISBN: (纸本)9781538678640

Blockchain has emerged as a decentralized and trustable ledger for recording and storing digital transactions. the mining process of blockchain, however, requires to consume heavy computation-resources to solve the proof-of-work puzzle, which is prohibitive from the perspective of the conventional mobile terminals (MTs). In this work, we investigate the mobile edge computing (MEC) assisted Blockchain, in which a group of MTs exploit MEC to enhance their computing-powers for solving the proof-of-work puzzle. In particular, we consider the recent advanced multiple-access MEC (MA-MEC) which enables each MT to acquire the computing-powers from several edge servers (ESs) simultaneously. We formulate a joint optimization problem which aims at maximizing the total reward of all MTs, while keeping the fairness among the MTs. Despite the nonconvexity of the problem, we propose efficient layered algorithms to compute the optimal solution. Extensive numerical results have been provided to validate the efficiency of our proposed algorithms.

关键词： Blockchain

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A Novel Lightweight and Robust Source-Channel Coding Solution for MIoT Communication Based on DL Denoising/Super Resolution Model 16

A Novel Lightweight and Robust Source-Channel Coding Solutio...

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16th international conference on Signal-Image Technology and Internet-Based Systems (SITIS)

作者： Noura, Hassan Azar, Joseph Couturier, Raphael Salman, Ola UFC FEMTO ST Inst CNRS Belfort France Amer Univ Beirut Elect & Comp Engn Dept Beirut 11072020 Lebanon

ISBN: (纸本)9781665464956

Multimedia Internet of things (MIoT) network is prone to a variety of challenging constraints, especially in terms of performance and security. Employed MIoT devices can be limited in terms of power, computation, and memory, which make them suffer with the high volume of collected multimedia data. In this context, data compression is one solution to reduce the size of communicated data. However, existing lossy multimedia compression algorithms, such as JPEG and BPG, impose a practical challenge for several MIoT devices since they require high computation and memory resources. Another challenge is the errors that can occur during transmission due to channel errors, which require re-transmitting the erroneous data. In this case, channel coding is one solution. However, channel coding solutions impose overhead in terms of computation and communication resources. To reduce this overhead, in this paper, we propose a lightweight source and channel coding solution that should be applied only on the application server. this solution consists of down-scaling each input image with a factor alpha >= 2 at the MIoT device. this reduces the computation, communicated data size, and memory consumption, which would consequently reduce both energy consumption and latency. However, the down-scaled image might be corrupted by channel errors due to the reliance on the wireless connection. In addition, if the down-scaled image was encrypted, an error in one data block will propagate to other data blocks after the decryption process at the application server. thus, to avoid costly data re-transmission or redundancy, our solution proposes to apply a Deep Learning (DL) denoising/super-resolution model at the server-side to recuperate high-quality images. this model plays the role of source and channel coding algorithm. the obtained results show the effectiveness of the proposed solution, especially in terms of enhancing the visual quality of the reconstructed high-resolution images from dow

关键词： Multimedia IoT devices Communication/ computation overhead Deep learning image denoising/super-resolution

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Computing Morse Decompositions for Triangulated Terrains: An Analysis and an Experimental Evaluation

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16th international conference on Image Analysis and Processing (ICIAP)

作者： Vitali, Maria De Floriani, Leila Magillo, Paola Univ Genoa Genoa Italy

ISBN: (纸本)9783642240850

We consider the problem of extracting the morphology of a terrain discretized as a triangle mesh. We discuss first how to transpose Morse theory to the discrete case in order to describe the morphology of triangulated terrains. We review algorithms for computing Morse decompositions, that we have adapted and implemented for triangulated terrains. We compare the the Morse decompositions produced by them, by considering two different metrics.

关键词： computation theory

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An efficient algorithm for approximate biased quantile computation in data streams

An efficient algorithm for approximate biased quantile compu...

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16th ACM conference on Information and Knowledge Management, CIKM 2007

作者： Zhang, Qi Wang, Wei University of North Carolina Chapel Hill United States

ISBN: (纸本)9781595938039

We propose an efficient algorithm for approximate biased quantile computation in large data streams. Our algorithm computes decomposable biased quantile summaries on fixed sized blocks and dynamically maintains the biased quantile summary for the entire stream as the exponential histogram over the block-wise quantile summaries. the algorithm is computationally efficient and achieves an amortized computational cost of O(log(1/e log(en))) and a space requirement of O(log3en/e). Our algorithm does not assume prior knowledge of the stream sizes or the range of data values in the streams. In practice, our algorithm is able to efficiently maintain summaries over large data streams with over tens of millions of observations and achieves significant performance improvement over prior algorithms. Copyright 2007 ACM.

关键词： computational efficiency

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Financial Cryptography and Data Security - FC 2013 workshops, USEC and WAHC 2013, Revised Selected Papers

Financial Cryptography and Data Security - FC 2013 Workshops...

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16th international conference on Financial Cryptography and Data Security, FC 2013

ISBN: (纸本)9783642413193

the proceedings contain 16 papers. the topics discussed include: the impact of length and mathematical operators on the usability and security of system-assigned one-time PINs;QRishing: the susceptibility of smartphone users to QR code phishing attacks;soulmate or acquaintance? visualizing tie strength for trust inference;awareness about photos on the web and how privacy-privacy-tradeoffs could help;bootstrapping trust in online dating: social verification of online dating profiles;SHADE: secure hamming distance computation from oblivious transfer;privacy preserving data processing with collaboration of homomorphic cryptosystems;and targeting FPGA DSP slices for a large integer multiplier for integer based FHE.

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16th international Workshop on algorithms in Bioinformatics, WABI 2016

16th International Workshop on Algorithms in Bioinformatics,...

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16th international Workshop on algorithms in Bioinformatics, WABI 2016

ISBN: (纸本)9783319436807

the proceedings contain 25 papers. the special focus in this conference is on algorithms in Bioinformatics. the topics include: Optimal computation of avoided words;a biclique approach to reference anchored gene blocks and its applications to pathogenicity islands;an efficient branch and cut algorithm to find frequently mutated subnetworks in cancer;isometric gene tree reconciliation revisited;further improvement in approximating the maximum duo-preservation string mapping problem;predicting core columns of protein multiple sequence alignments for improved parameter advising;fast compatibility testing for phylogenies with nested taxa;the gene family-free median of three;copy-number evolution problems: complexity and algorithms;a fast and memory-efficient k-mer counter with GPU-support;genome rearrangements on both gene order and intergenic regions;better identification of repeats in metagenomic scaffolding;better identification of repeats in metagenomic scaffolding;solving generalized maximum-weight connected subgraph problem for network enrichment analysis;inferring population genetic parameters: particle filtering, HMM, ripley’s k-function or runs of homozygosity?;a graph extension of the positional burrows-wheeler transform and its applications;compact universal k-mer hitting sets;a new approximation algorithm for unsigned translocation sorting;a linear time approximation algorithm for the DCJ distance for genomes with bounded number of duplicates and a hybrid parameter estimation algorithm for beta mixtures and applications to methylation state classification.

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A Verifiable Federated Learning Scheme Based on Secure Multi-party computation 16th

A Verifiable Federated Learning Scheme Based on Secure Multi...

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16th international conference on Wireless algorithms, Systems, and Applications (WASA)

作者： Mou, Wenhao Fu, Chunlei Lei, Yan Hu, Chunqiang Chongqing Univ Sch Big Data & Software Engn Chongqing Peoples R China

ISBN: (纸本)9783030861308;9783030861292

Federated learning ensures that the quality of the model is uncompromised while the resulting global model is consistent with the model trained by directly collecting user data. However, the risk of inferring data considered in federated learning. Furthermore, the inference to the learning outcome considered in a federated learning environment must satisfy that data cannot be inferred from any outcome except the owner of the data. In this paper, we propose a new federated learning scheme based on secure multi-party computation (SMC) and differential privacy. the scheme prevents inference during the learning process as well as inference of the output. Meanwhile, the scheme protects the user's local data during the learning process to ensure the correctness of the results after users' midway exits through the process.

关键词： Federated learning Secure multi-party computation Differential privacy Verification

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Applying OpenMP-based Parallel Implementations of NSGA-II and SPEA2 to Study Phylogenetic Relationships 16

Applying OpenMP-based Parallel Implementations of NSGA-II an...

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16th IEEE international conference on Cluster Computing (CLUSTER)

作者： Santander-Jimenez, Sergio Vega-Rodriguez, Miguel A. Univ Extremadura Dept Technol Comp & Commun Caceres Spain

ISBN: (纸本)9781479955480

throughout the years, biological processing demands have been addressed by relying on the design of algorithmic approaches for parallel architectures. By taking advantage of multicore processor systems, we can deal with the main sources of complexity which explain the NP-hard nature of multiple problems in computational biology. In this work, we address the inference of phylogenetic topologies by using two multiobjective metaheuristics: Fast Non-Dominated Sorting Genetic Algorithm and Strength Pareto Evolutionary Algorithm 2. the additional complexity introduced by the multiobjective formulation of the problem motivates that parallel designs of these algorithms must be undertaken. For this purpose, OpenMP-based implementations of these two metaheuristics are applied. To evaluate the performance of these approaches, a comparative study has been conducted by performing experimentation on four nucleotide data sets. Our experiments suggest the relevance of these parallel algorithmic designs, improving the phylogenetic results reported by other multiobjective tools in reduced execution times.

关键词： Multiobjective optimization evolutionary computation parallel computing phylogeny reconstruction

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