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algorithms and architectures for parallel processing - 9th international conference, ica3pp 2009, Proceedings

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9th international conference on algorithms and architectures for parallel processing, ica3pp 2009

ISBN: (纸本)3642030947

the proceedings contain 81 papers. the topics discussed include: length encoded secondary structure profile for remote homologous protein detection;a process scheduling analysis model based on grid environment;a resource broker with cross grid information services on computational multi-grid environments;implementation of a performance-based loop scheduling on heterogeneous clusters;a software transactional memory service for grids;an empirical study on the performance issues on the clustered client-server computing environment;energy-efficient clustering in wireless sensor networks;maximally local connectivity on augmented cubes;a cluster-based data routing for wireless sensor networks;and a energy efficient scheduling base on dynamic voltage and frequency scaling for multi-core embedded real-time system.

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

24th International Conference on Algorithms and Architecture...

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

ISBN: (纸本)9789819615445

the proceedings contain 131 papers. the special focus in this conference is on algorithms and architectures for parallel processing. the topics include: MARO: Enabling Full MPI Automatic Refactoring in DSL-Based Programming Framework;SSC: An SRAM-Based Silence Computing Design for On-chip Memory;TP-BFT: A Faster Asynchronous BFT Consensus with parallel Structure;LTP: A Lightweight On-Chip Temporary Prefetcher for Data-Dependent Memory Accesses;A Neural Network-Based PUF Protection Method Against Machine Learning Attack;Compression Format and Systolic Array Structure Co-design for Accelerating Sparse Matrix Multiplication in DNNs;multidimensional Intrinsic Identity Construction and Dynamic Seamless Authentication Schemes in IoT Environments;invisible Backdoor Attack with Image Contours Triggers;finestra: Multi-aggregator Swarm Learning for Gradient Leakage Defense;DIsFU: Protecting Innocent Clients in Federated Unlearning;multiple-Round Aggregation of Abstract Semantics for Secure Heterogeneous Federated Learning;dynamic Privacy Protection with Large Language Model in Social Networks;a Dynamic Symmetric Searchable Encryption Scheme for Rapid Conjunctive Queries;a Data Watermark Scheme Base on Data Converted Bitmap for Data Trading;distributed Incentive Algorithm for Fine-Grained Offloading in Vehicular Ad Hoc Networks;mitigating Over-Unlearning in Machine Unlearning with Synthetic Data Augmentation;AW-YOLOv9: Adverse Weather Conditions Adaptation for UAV Detection;efficient and Privacy-Preserving Ranking-Based Federated Learning;on-Chain Dynamic Policy Evaluation for Decentralized Access Control;DPG-FairFL: A Dual-Phase GAN-Based Defense Framework Against Image-Based Fairness Data Poisoning Attacks in Federated Learning.

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

24th International Conference on Algorithms and Architecture...

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

ISBN: (纸本)9789819615506

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

24th International Conference on Algorithms and Architecture...

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

ISBN: (纸本)9789819615247

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

24th International Conference on Algorithms and Architecture...

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

ISBN: (纸本)9789819615278

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

24th International Conference on Algorithms and Architecture...

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

ISBN: (纸本)9789819615414

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

24th International Conference on Algorithms and Architecture...

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

ISBN: (纸本)9789819615476

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Hybridization of One- and Two-Point Bandits Convex Optimization in Non-stationary Environments 24th

Hybridization of One- and Two-Point Bandits Convex Optimiz...

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

作者： Zeng, Gailun Guo, Jianxiong Advanced Institute of Natural Sciences Beijing Normal University Zhuhai China Hong Kong Baptist University Hong Kong Guangdong Key Lab of AI and Multi-modal Data Processing Department of Computer Science BNU-HKBU United International College Zhuhai China

ISBN: (纸本)9789819615278

Bandit Convex Optimization (BCO) is an imperative analysis framework when dealing with sequential decision-making problems. Considering to balance the computational cost and bounds of regrets, in this paper, we propose a hybridized algorithm of one- and two-point bandit convex models in non-stationary environments and use a more general performance measure dynamic regret, which records the cumulative difference between function loss and a feasible comparator sequence during the time horizon T. the path length of a comparator sequence PT reveals the non-stationarity of environments. Our proposed algorithm builds an upper bound of dynamic regret O((1+PT)1/2[β(λT)1/2+((1-λ)T)3/4]), where the parameter λ can dynamically adjust the bound guarantee to balance the computational cost in real applications. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Comparators (optical)

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AW-YOLOv9: Adverse Weather Conditions Adaptation for UAV Detection 24th

AW-YOLOv9: Adverse Weather Conditions Adaptation for UAV De...

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

作者： Yang, Runjie Guo, Yongde Yan, Jun Yang, Haonan Dai, Zifeng Faculty of Data Science City University of Macau SAR Macau China School of Data Science Qingdao University of Science and Technology Qingdao266000 China Zhuhai Aerospace Microchips Science and Technology Co. Ltd. Zhuhai519000 China School of Cyberspace Science and Technology Beijing Institute of Technology Beijing100039 China

ISBN: (纸本)9789819615445

Effective and accurate detection of unmanned aerial vehicles (UAVs) is crucial for combating malicious UAV systems. However, adverse weather conditions, such as haze or low light, often degrade the quality of captured UAV images. Traditional target detection models applied to these low-quality UAV images usually suffer from decreased accuracy. To address this challenge, this paper proposes AW-YOLOv9, a UAV target detection method designed for adverse weather conditions. Specifically, an image enhancement processing (IEP) module with adaptive learning parameters is introduced to suppress weather-related interference in the images and restore hidden target information. the DP module embedded within YOLOv9 was designed to reduce the network’s parameter count while improving the detection speed. We established a dataset of UAV images under adverse weather conditions and utilized this dataset to validate the superiority of AW-YOLOv9. the experiments demonstrate that the proposed method achieves a 3.30% improvement in mean average precision compared to SOTA methods, effectively enhancing the detection accuracy of UAV targets under adverse weather conditions. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Aircraft detection

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ORL-EPM: A Profit-Aware and Load-Driven Heterogeneous Resource Management Scheme with Collaborative Edge Computing 24th

ORL-EPM: A Profit-Aware and Load-Driven Heterogeneous Resou...

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

作者： Huang, Fengyi Zhang, Yutao Wang, Wenhua Guo, Jianxiong Xu, Yang Fan, Wentao Wang, Tian Hong Kong Baptist University Hong Kong China Hong Kong Baptist University United International College Beijing Normal University Zhuhai China Beijing Normal University Zhuhai China College of Computer Science and Electronic Engineering Hunan University Changsha China

ISBN: (纸本)9789819615414

To address the limitations of energy-efficient but computationally limited ARM64-based AI edge devices and general-purpose edge servers, this paper proposes a Decentralized Collaborative Heterogeneous Edge Computing (DCEC) architecture. this architecture combines edge servers with embedded AI devices to achieve low latency and enhanced computational capabilities. Commercially, the DCEC framework is divided into edge private clouds and edge public clouds, aiming to maximize the profits of Edge Service Providers (ESPs) through dynamic resource management. Considering task dynamism, complexity, and resource heterogeneity, this complex problem is formulated as a multi-stage mixed-integer nonlinear programming (MINLP) problem. We developed the ORL-EPM resource management framework—a three-layer optimization system that adjusts task scheduling based on varying latency sensitivity weights and heterogeneous resource demands. Additionally, we introduced a resource collaboration system based on resource leasing to manage resource overloads and accommodate diverse task complexities. this system includes three Economic Payment Models (EPMs) designed to achieve efficient and profitable resource utilization. Extensive simulation results indicate that this method ensures convergence and closely approximates optimal solutions across various scenarios, significantly outperforming existing methods. Testbed experiments demonstrate that the DCEC architecture can reduce latency by up to 21.83% in real-world applications, notably exceeding previous approaches. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Energy efficiency

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