Algorithms and Architectures for Parallel Processing
Springer Nature Switzerland AG (Verlag)
978-981-96-1527-8 (ISBN)
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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 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.
Updates Leakage Attack against Private Graph Split Learning.- Incremental Board Learning System Based on Feature Selection.- High-Capacity Image Hiding via Compressible Invertible Neural Network.- Crop Classification Methods Based on Siamese CBMM-CNN Architectures Using Hyperspectral Remote Sensing Data.- Secure and Revocable Multi-authority CP-ABE for Mobile Cloud Computing.- Software Crowdsourcing Allocation Algorithm Based on Task Priority.- Resource Management for GPT-based Model Deployed on Clouds: Challenges, Solutions, and Future Directions.- Dynamic Offloading Control for Waste Sorting Based on Deep Q-Network.- Hybridization of One- and Two-point Bandits Convex Optimization in Non-stationary Environments.- Style-specific Music Generation From Image.- Multimodal Summarization with Modality-Aware Fusion and Summarization Ranking.- Enhancing Text-Image Person Re-identification via Intra-Class Relevance Learning.- FEDNPAIT: Federated Learning with NADAM and PADAM for Instruction Tuning.-Feature Augmented Meta-learning on Domain Generalization for Evolving Malware Classification.- Coordinated Multi-regional Logistics Path Planning: A Broad Reinforcement Learning Framework.- Path Optimization Method Under UAV Charging Scheduling Network.- Cross-Modal Mask and Detail Alignment for Text-based Person Retrieval.- Prototype Enhancement for Few-shot Point Cloud Semantic Segmentation.- Towards Information Sharing Beetle Antennae Search Optimization.- A Cost-Effective Data Placement Strategy based on Battle Royale Optimization in Multi-Cloud Edge Environments.- A Multi-Holder Role and Strange Attractor-Based Data Possession Proof in Medical Clouds.- Privacy-Preserving Federated Learning Framework In Response Gaming Systems.- Federated Learning and Parallel Prompt Scheduling Strategies for Large Language Models.
| Erscheinungsdatum | 11.03.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | 88 Illustrations, color; 9 Illustrations, black and white |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Informatik ► Weitere Themen ► Hardware | |
| Schlagworte | Anomaly Detection • Blockchain • Cloud Computing • cyber security • Data Sharing • Deep learning • Diffusion Autoencoder • edge computing • Fake Detection • Feature Selection • federated learning • Injection Attack • machine learning • Privacy Attacks and Defense • unmanned aerial vehicle |
| ISBN-10 | 981-96-1527-5 / 9819615275 |
| ISBN-13 | 978-981-96-1527-8 / 9789819615278 |
| Zustand | Neuware |
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