Algorithms and Architectures for Parallel Processing : 23rd International Conference, ICA3PP 2023, Tianjin, China, October 20–22, 2023, Proceedings, Part I / edited by Zahir Tari, Keqiu Li, Hongyi Wu.

Format:

Book

Author/Creator:

Tari, Zahir, 1961-

Contributor:

Li, Keqiu.

Wu, Hongyi.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 14487

Language:

English

Subjects (All):

Algorithms.

Machine learning.

Computer networks.

Computer vision.

Computer engineering.

Design and Analysis of Algorithms.

Machine Learning.

Computer Communication Networks.

Computer Vision.

Computer Engineering and Networks.

Local Subjects:

Design and Analysis of Algorithms.

Machine Learning.

Computer Communication Networks.

Computer Vision.

Computer Engineering and Networks.

Physical Description:

1 online resource (523 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

The 7-volume set LNCS 14487-14493 constitutes the proceedings of the 23rd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2023, which took place in Tianjin, China, during October 2023. The 145 full papers included in these proceedings were carefully reviewed and selected from 439 submissions. ICA3PP covers many dimensions of parallel algorithms and architectures; encompassing fundamental theoretical approaches; practical experimental projects; and commercial components and systems.

Contents:

Short Video Account Influence Evaluation Model Based on Improved SF-UIR Algorithm

Deep Hash Learning of Feature-Invariant Representation for Single-label and Multi-label Retrieval

Generative Adversarial Network Based Asymmetric Deep Cross-modal Unsupervised Hashing

CFDM-IME A Collaborative Fault Diagnosis Method For Intelligent Manufacturing Equipment

DFECTS A Deep Fuzzy Ensemble Clusterer for Time Series

Energy-aware Smart Task Scheduling in Edge Computing Networks with A3C

BACTDS Blockchain-based Fined-grained Access Control Scheme with Traceablity for IoT Data Sharing

DeepLat Achieving Minimum Worst Case Latency for DNN Inference with Batch-Aware Dispatching

Privacy-Preserving and Reliable Distributed Federated Learning

Joint Optimization of Request Scheduling and Container Prewarming in Serverless Computing

Multi-Stage Optimization of Incentive Mechanisms for Mobile Crowd Sensing based on Top-Trading Cycles

A Chained Forwarding Mechanism for Large Messages

TDC Pool-level object cache replacement algorithm based on temperature density

Smart DAG Task Scheduling based on MCTS Method of Multi-Strategy Learning

CT-Mixer Exploiting Multiscale Design for Local-global Representations Learning

FedQL Q-learning Guided Aggregation for Federated Learning

An Adaptive Instruction Set Encoding Automatic Generation Method for VLIW

FastDet Detecting Encrypted Malicious Traffic Faster via Early Exit

Real-EVE Real-time Edge-assist Video Enhancement for Joint Denoising and Super-resolution

Optimizing the Parallelism of Communication and Computation in Distributed Training Platform

FedSC Compatible Gradient Compression for Communication-Efficient Federated Learning

Joint Video Transcoding and Representation Selection for Edge-Assisted Multi-Party Video Conferencing

Performance Comparison of Distributed DNN Training on Opticalversus Electrical Interconnect Systems

Dynamic Path Planning Based on Traffic Flow Prediction and Traffic Light Status

A Time Series Data Compression Co-processor Based on RISC-V Custom Instructions

MSIN An Efficient Multi-head Self-Attention Framework for Inertial Navigation

AbsorbDeadlock Resolution for 2.5D Modular Chiplet Based Systems

A Multi-Server Authentication Scheme based on Fuzzy Extractor.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9789819708345

9819708346

OCLC:

1427062591