Collaborative Computing: Networking, Applications and Worksharing: 21st EAI International Conference, CollaborateCom 2025, Shanghai, China, November 15–16, 2025, Proceedings, Part II

Author:   Honghao Gao ,  Xinheng Wang
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032211705


Pages:   618
Publication Date:   08 April 2026
Format:   Paperback
Availability:   In Print   Availability explained
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Collaborative Computing: Networking, Applications and Worksharing: 21st EAI International Conference, CollaborateCom 2025, Shanghai, China, November 15–16, 2025, Proceedings, Part II


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Author:   Honghao Gao ,  Xinheng Wang
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032211705


ISBN 10:   3032211700
Pages:   618
Publication Date:   08 April 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

.- Federated Learning & Collaborative working. .- A Data Fusion Processing Architecture for Multi-Node Network Cooperative Integrated Sensing and Communication. .-  Robustness Analysis of Multi-layer LEO Satellite Networks with Dynamic Heterogeneous Cascading Failure Model. .- AC-KVS: Adaptive Centralized Key-Value Scheduler in Programmable Switch for Distributed Key-value Stores. .- FedSTAR: A Federated Learning Framework for Reliable Trajectory Prediction under Spatiotemporal Heterogeneity. .- A Hierarchical Model of Trusted Federation Based on Adaptive Mutual Learning. .- A Service-Oriented Adaptive Hierarchical Incentive Solution for Federated Learning. .- Correlation Aware Imbalanced Multimodal Fusion in IoT Environment. .- Trust-Aware UAV-Vehicle Hierarchical Collaboration for Efficient Multimedia Big Data Collection. .- PVA-FL: Practical Verifiable Aggregation for Privacy Preserving Federated Learning. .-  H2A-BPMN: A Hierarchical & Hybrid Agent Framework for Industrial BPMN Automated Modeling. .- LADSG: Label-Anonymized Distillation and SimilarGradient Substitution for Label Privacy in Vertical Federated Learning. .- Edge computing & Task scheduling. .- CPRGO : Delay-Aware Task Scheduling Strategy for Edge-Cloud Continuum in Multi-Hop Network Environments. .-  Partial Pairwise Preference-Driven Task Allocation in Volunteer Crowdsourcing. .- A deep matrix completion method for recovering edge collaborative sensing data in the Internet of Vehicles. .- DCPS: A Novel Community-Interest-Aware Centralized Resource Scheduling Method for Cooperative MEC Caching. .- Adaptive Multi-Objective Task Scheduling for K3s-Enabled UAV Swarms. .- Adaptive Multi-Resource Orchestration for Latency Critical Service Function Chains in Mobile Edge Networks. .- Joint Model Deployment and Task Offloading with Load Balancing for DNN Inference in Vehicular Edge Computing. .- Security and Blockchain applications. .- MVTest: Automated Metamorphic Testing of Multi-View Perception Systems. .- Cyber-Attack Detection in Federated Learning: A Bidirectionally Secure and Verifiable Architecture. .- GANBFL: A Reliable Incentive Mechanism for Federated Learning via GAN Based Evaluation and Blockchain Integration. .-  A Review of Hardware Accelerated Design and Optimization Techniques for Reconfigurable Cryptosystems. .- CLCBA: A Secure and Efficient Identity Authentication Scheme for Cross-Chain Interoperability. .- A Cross-Chain Key Agreement and Regulatory Governance Framework Based on Peninsula Group Permutation Rational Functions. .- Anomaly Detection. .- SkyPatrol: Aerial Peer Perspective Vision based Anomalous UAV Recognition. .- A Novel Dynamic Spatio-Temporal Collaborative Model for Multivariate Time Series Anomaly Detection. .- Topology-enhanced Graph Attention Network for Anomaly Detection in IIoT Domain. .- An Adversarial Detection and Defense Method based on Neural Discrete Representation. .- MemGT: Memory-augmented Graph Transformer based Unsupervised Model for Collaborative Internet of Things Anomaly Detection. .-  Multi-scale Time–frequency Collaborative Feature Learning for Unsupervised Anomaly Detection in Fluctuating IoT Time Series.

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