Algorithms and Architectures for Parallel Processing

24th International Conference, ICA3PP 2024, Macau, China, October 29–31, 2024, Proceedings, Part IV

AvTianqing Zhu,Jin Li

Häftad, Engelska, 2025

Del 15254 i serien Lecture Notes in Computer Science

855 kr

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Beskrivning

The six-volume set, LNCS 15251-15256, constitutes the refereed proceedings of the 24th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024, held in Macau, China, during October 29–31, 2024.The 91 full papers, 35 short papers and 5 workshop papers included in these proceedings were carefully reviewed and selected from 265 submissions. They focus on the many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems.

Produktinformation

Utgivningsdatum:2025-02-13
Mått:155 x 235 x 21 mm
Vikt:569 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:360
Förlag:Springer Nature Switzerland AG
ISBN:9789819615445

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

SMP-NoC: A Flexible and Efficient Shared Memory Protection Unit on Network-on-Chip.- A Fine-Grained Ownership Transfer Protocol for Cloud EMRs Auditing.- 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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