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E-grāmata: Algorithms and Architectures for Parallel Processing: 24th International Conference, ICA3PP 2024, Macau, China, October 29-31, 2024, Proceedings, Part IV

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  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 15254
  • Izdošanas datums: 12-Feb-2025
  • Izdevniecība: Springer Nature Switzerland AG
  • Valoda: eng
  • ISBN-13: 9789819615452
  • Formāts - EPUB+DRM
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  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 15254
  • Izdošanas datums: 12-Feb-2025
  • Izdevniecība: Springer Nature Switzerland AG
  • Valoda: eng
  • ISBN-13: 9789819615452

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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 2931, 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.
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.