標(biāo)題: Titlebook: Algorithms and Architectures for Parallel Processing; 23rd International C Zahir Tari,Keqiu Li,Hongyi Wu Conference proceedings 2024 The Ed [打印本頁] 作者: Glycemic-Index 時(shí)間: 2025-3-21 18:16
書目名稱Algorithms and Architectures for Parallel Processing影響因子(影響力)
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書目名稱Algorithms and Architectures for Parallel Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Algorithms and Architectures for Parallel Processing被引頻次
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書目名稱Algorithms and Architectures for Parallel Processing讀者反饋
書目名稱Algorithms and Architectures for Parallel Processing讀者反饋學(xué)科排名
作者: 壓倒性勝利 時(shí)間: 2025-3-21 20:42 作者: 先鋒派 時(shí)間: 2025-3-22 02:51 作者: 偉大 時(shí)間: 2025-3-22 08:34 作者: 紅腫 時(shí)間: 2025-3-22 08:57
https://doi.org/10.1007/978-3-8348-9239-3ey Cryptography (CL-PKC) mechanism, which relies on a semi-trusted third party and gets rid of the key escrow problem. To reduce the storage overhead and enable light-weight data verification, we design a storage structure named Merkle Hash Tree Grid Combination (MHTGC) for data management. To prese作者: 氣候 時(shí)間: 2025-3-22 15:18 作者: 確定的事 時(shí)間: 2025-3-22 20:45 作者: cogitate 時(shí)間: 2025-3-22 22:18 作者: 障礙 時(shí)間: 2025-3-23 01:42
Sicherheitsziele auf allen Ebenen,ssment model closely aligns with the fault injection results, while introducing much lower execution overhead. Our partial thread redundancy mechanism provides a better trade-off between reliability and overhead compared with full RMT.作者: acrophobia 時(shí)間: 2025-3-23 07:53
Sicherheitsziele auf allen Ebenen,ata and task allocation procedure. Through rigorous theoretical analysis, we establish that CDCFT’s communication overhead during the Shuffle Stage is notably less than traditional CDC methods that rely on triple modular redundancy. Experimental results showcase the efficacy of CDCFT, signifying a s作者: Spinal-Fusion 時(shí)間: 2025-3-23 09:57 作者: 恃強(qiáng)凌弱 時(shí)間: 2025-3-23 16:50 作者: BLAND 時(shí)間: 2025-3-23 18:03
,HR-,ESP: A Heuristic Algorithm for?Robustness-Oriented , Edge Server Placement,constraint is satisfied. The comparison experiments have been conducted on a public dataset, showing that our HR-.ESP algorithm achieves a better optimization effect than the other four benchmark algorithms in most cases.作者: follicle 時(shí)間: 2025-3-24 01:05
,A Hybrid Kernel Pruning Approach for?Efficient and?Accurate CNNs,as feature extractors, we design a functional similarity-based pruning algorithm as the criteria for selecting pruned kernels. Our experimental results show that when pruning ResNet with a high pruning ratio, this algorithm can obtain a sparse model with high accuracy. Moreover, when combined with t作者: hemoglobin 時(shí)間: 2025-3-24 03:17 作者: 驚惶 時(shí)間: 2025-3-24 08:36
,A Graph Generation Network with?Privacy Preserving Capabilities,ls, with a particular emphasis on preserving edge privacy in graph data to ensure connection privacy in relational data. To enhance edge differential privacy, appropriate noise is injected into the gradient of link-reconstruction-based graph generative models.作者: 愛花花兒憤怒 時(shí)間: 2025-3-24 12:32 作者: Servile 時(shí)間: 2025-3-24 15:31
,CFChain: A Crowdfunding Platform that?Supports Identity Authentication, Privacy Protection, and?Eff non-linkability of user identities in the face of sybil attacks, nor do they offer a streamlined auditing mechanism for crowdsourcing modest donations that simultaneously preserves transactional privacy. This paper presents a novel crowdfunding system called CFChain based on blockchain technology. 作者: Canary 時(shí)間: 2025-3-24 22:37
,TBAF: A Two-Stage Biometric-Assisted Authentication Framework in?Edge-Integrated UAV Delivery SysteAuthentication Framework (TBAF) that enhances security and efficiency. In TBAF, a novel secret sharing method is designed to distribute storage biometric templates with protection, ensuring the secret values which are biometric templates can only be accessed by authorized parties. Additionally, the 作者: foodstuff 時(shí)間: 2025-3-24 23:39 作者: 炸壞 時(shí)間: 2025-3-25 04:25 作者: Pastry 時(shí)間: 2025-3-25 07:45
,An Efficient Fault Tolerance Strategy for?Multi-task MapReduce Models Using Coded Distributed Compuata and task allocation procedure. Through rigorous theoretical analysis, we establish that CDCFT’s communication overhead during the Shuffle Stage is notably less than traditional CDC methods that rely on triple modular redundancy. Experimental results showcase the efficacy of CDCFT, signifying a s作者: grotto 時(shí)間: 2025-3-25 13:40 作者: 軌道 時(shí)間: 2025-3-25 19:43
Decentralized Self-sovereign Identity Management System: Empowering Datacenters Through Compact Canretain the prerogative to store their verifiable credentials within local environments. Besides, we introduce a compact cancelable template generation algorithm to enhance security and efficiency. Additionally, our experiments demonstrate the effectiveness and performance of Coconut.作者: Cholecystokinin 時(shí)間: 2025-3-25 22:51 作者: sorbitol 時(shí)間: 2025-3-26 01:48 作者: 步兵 時(shí)間: 2025-3-26 08:17 作者: 小步舞 時(shí)間: 2025-3-26 11:51
,Sicherheitsmanagement — Konzeptionelles,orage Device (CSD) by offloading tasks to the CSD. In NDP architectures, each task can run in multiple modes according to the resource it takes for computing, such as the CPU of the host, the accelerator or the processor of the CSD. However, existing task scheduling algorithms on NDP architectures a作者: Indecisive 時(shí)間: 2025-3-26 15:53
Sicherheitsziele auf allen Ebenen,nts close to the users. From the perspective of service providers, in this paper, we consider how to deploy . edge servers on suitable base stations to maximize network robustness and user coverage. Accordingly, the above two metrics are focused on constructing an optimization model for deploying a 作者: 過份 時(shí)間: 2025-3-26 17:08 作者: 無王時(shí)期, 時(shí)間: 2025-3-26 21:13
,Sicherheitsmanagement — Konzeptionelles,wer to edge servers, thereby meeting users’ quality of service requirements. However, due to the limited computing and storage resources on the edge server, it is impossible to migrate all user service requests to the edge server. At the same time, due to the heterogeneity of resources among edge se作者: delta-waves 時(shí)間: 2025-3-27 02:18 作者: Expostulate 時(shí)間: 2025-3-27 06:41
https://doi.org/10.1007/978-3-8348-9239-3heir local data. It addresses critical issues such as data privacy in distributed machine learning. In real circumstances, the statistical heterogeneity of data on different devices will cause bad performance of training process. In this paper, we propose FedCSA, a clustered federated learning frame作者: 支架 時(shí)間: 2025-3-27 09:53 作者: 憂傷 時(shí)間: 2025-3-27 13:41 作者: 過于光澤 時(shí)間: 2025-3-27 20:22
Grundstrukturen der IT-Sicherheit,imulations do not consider enough factors that influence the training, which brings inaccuracy for the prediction of DLT time. To address these rising challenges, we propose ., a .ep .arning .raining .xecution time .redictor based on comprehensive modeling at the .erator level. It systematically abs作者: 巨大沒有 時(shí)間: 2025-3-27 23:19 作者: expansive 時(shí)間: 2025-3-28 03:24
,Grunds?tzliches zu Sicherheitsma?nahmen,with traditional intelligent delivery systems. But with its rapid development, a series of security and privacy issues have also emerged. For instance, it is of vital importance to maintain data safety due to UAVs exchanging sensitive data with servers through public channels, attackers can easily g作者: 夸張 時(shí)間: 2025-3-28 06:41 作者: acrobat 時(shí)間: 2025-3-28 13:07
,Technische Sicherheitsma?nahmen,, pointwise convolutions are still time-consuming like regular convolutions. As a result of increasing power consumption, low-power embedded processors have been brought into high-performance computing field, such as multi-core digital signal processors (DSPs). In this paper, we propose a high-perfo作者: LAVE 時(shí)間: 2025-3-28 16:53 作者: amnesia 時(shí)間: 2025-3-28 19:38 作者: IVORY 時(shí)間: 2025-3-28 23:59 作者: 擁擠前 時(shí)間: 2025-3-29 06:09 作者: 不可磨滅 時(shí)間: 2025-3-29 09:16
,Technische Sicherheitsma?nahmen,alized systems are raising security concerns due to their reliance on trusted intermediaries, which prompts the development of self-sovereign identity (SSI). However, SSI still face challenges regarding network pressures, blockchain costs, and security vulnerabilities. In this paper, we propose Coco作者: Preamble 時(shí)間: 2025-3-29 13:36 作者: 消音器 時(shí)間: 2025-3-29 15:48 作者: Infusion 時(shí)間: 2025-3-29 22:28 作者: exophthalmos 時(shí)間: 2025-3-30 03:24
,An Efficient Scheduling Algorithm for?Multi-mode Tasks on?Near-Data Processing SSDs,orage Device (CSD) by offloading tasks to the CSD. In NDP architectures, each task can run in multiple modes according to the resource it takes for computing, such as the CPU of the host, the accelerator or the processor of the CSD. However, existing task scheduling algorithms on NDP architectures a作者: averse 時(shí)間: 2025-3-30 06:33
,HR-,ESP: A Heuristic Algorithm for?Robustness-Oriented , Edge Server Placement,nts close to the users. From the perspective of service providers, in this paper, we consider how to deploy . edge servers on suitable base stations to maximize network robustness and user coverage. Accordingly, the above two metrics are focused on constructing an optimization model for deploying a 作者: 他很靈活 時(shí)間: 2025-3-30 10:47
,A Hybrid Kernel Pruning Approach for?Efficient and?Accurate CNNs,rithms can significantly reduce the number of parameters in the model, which in turn reduces the amount of computation required during model training and inference. Currently, the most popular pruning algorithm is the structured pruning algorithm, which prunes the model at the kernel level. Research作者: 口訣 時(shí)間: 2025-3-30 12:39 作者: bronchiole 時(shí)間: 2025-3-30 20:26 作者: 音樂等 時(shí)間: 2025-3-30 20:56 作者: 或者發(fā)神韻 時(shí)間: 2025-3-31 01:24 作者: 錯(cuò)誤 時(shí)間: 2025-3-31 07:07
,UAV-Assisted Data Collection and?Transmission Using Petal Algorithm in?Wireless Sensor Networks,ireless sensor networks (WSNs). In this paper, the energy consumption of UAVs, the integrity of data collection and full coverage and so on are taken into account. Consequently, a dynamic UAV data collection model is formulated, with the objectives of minimizing the number of UAVs, reducing their fl作者: 凝視 時(shí)間: 2025-3-31 12:41 作者: 無辜 時(shí)間: 2025-3-31 17:13
,CFChain: A Crowdfunding Platform that?Supports Identity Authentication, Privacy Protection, and?Efftablished crowdfunding platforms or other digital avenues. The objective is to provide support for charitable organizations, social welfare initiatives, or personal requirements. The widespread adoption of the Internet and the rapid advancement of digital technology have facilitated the global disse作者: 吝嗇性 時(shí)間: 2025-3-31 19:04
,TBAF: A Two-Stage Biometric-Assisted Authentication Framework in?Edge-Integrated UAV Delivery Systewith traditional intelligent delivery systems. But with its rapid development, a series of security and privacy issues have also emerged. For instance, it is of vital importance to maintain data safety due to UAVs exchanging sensitive data with servers through public channels, attackers can easily g作者: ODIUM 時(shí)間: 2025-4-1 00:09 作者: HUMID 時(shí)間: 2025-4-1 04:15 作者: 不連貫 時(shí)間: 2025-4-1 06:53
,Detecting SDCs in?GPGPUs Through Efficient Partial Thread Redundancy, execution reliability of such applications under the impact of soft errors becomes a critical issue. Redundant Multi-Threading (RMT) provides a potentially low-cost mechanism for improving GPGPU reliability, but full protection comes with high time and resource costs. In this paper, we propose a pa作者: debacle 時(shí)間: 2025-4-1 11:54 作者: 使痛苦 時(shí)間: 2025-4-1 14:38
,An Efficient Fault Tolerance Strategy for?Multi-task MapReduce Models Using Coded Distributed Compuapabilities, it faces challenges due to silent data corruption during task execution, which can yield inaccurate results. Ensuring fault tolerance in the MapReduce framework while minimizing communication overhead presents considerable challenges. This study presents CDCFT (Coded Distributed Computi
