Collaborative Computing: Networking, Applications and Worksharing
Description
This two-volume set LNICST 680-681 constitutes the refereed proceedings of the 21st EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2025, held in Shanghai, China, during November 15-16, 2025.
The 58 full papers included in these volumes were carefully reviewed and selected from 207 submissions. They are categorized under the topical sections as follows:
Part I: Large Language Models & Recommendation systems; and Deep Learning and application.
Part II: Federated Learning & Collaborative working; Edge computing & Task scheduling; Security and Blockchain applications; and Anomaly Detection.
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Content
.- Large Language Models & Recommendation systems.
.- Multi-Scale Semantic Reprogramming for Time Series Forecasting with Large Language Models.
.- ChunkPassGPT: A Chunk-Level Pattern-Guided Generative Password Guessing Model.
.- ClusLazyFR: An Efficient Federated Recommendation Scheme via User Clustering and Lazy Aggregation.
.- RPDP-Guard: Defending Large Language Models Against Jailbreaking Attacks Through Risk Perception and Dynamic Prompting.
.- An External Knowledge Enhanced Multimodal Method for Improving Chinese Spelling Correction.
.- AQFM: AN AUTOMATIC QUESTION ANSWERING FRAMEWORK BASED ON THE COLLABORATION OF LOW-PARAMETER LLMS.
.- Enhanced Spoofing Speech Detection with Self-Supervised Feature Extraction and Multi-Expert Models.
.- Multimodal Knowledge-enhanced Sequence Modeling Method for Conversational Recommender Systems.
.- A^3LLM: A Novel Large Language Model-based Method For Attack Alert Analysis.
.- Deep Learning and application.
.- JIT-Coka: An Improved Framework for Just-in-Time Defect Prediction and Localization Using Fused Features of Code Change.
.- Multi-Stage Fuzzy Job Scheduling in Collaborative Heterogeneous Clouds via a Hybrid NSGA-II and Deep Reinforcement Learning Approach.
.- HybCompress-MARL:Hybrid Model Compression with Multi-agent Reinforcement Learning for CNN.
.- DentSplat: Dental Occlusion Novel View Synthesis from Sparse Intra-Oral Photographs.
.- Structure-Guided Update of Dynamic Graphs under Local Differential Privacy.
- TS-EWM: An End-to-end Speech Watermarking Scheme Based On Multimodal Multi-branch Decoder And Multi-sensory Orthogonal Projection Gradient Optimization.
.- RL-Based Test Case Prioritization with LSTM-Attention Reward Function.
.- iPPGYdrNet: HR Extraction under Motion and Occlusion Conditions.
.- SimAECLR: A Contrastive Learning Approach with Autoencoder for ECG Signals Classification under Limited Labeled Data.
.- MobileRehab: Smartphone-Based Rehabilitation Monitoring Using Active Acoustic Sensing.
.- Cross-Modal Medical Image Translation based on Adversarial Diffusion Model.
.- A Time Flow Neural Network For Solving Time-Varying Steady-State Maximum Flow Problem.
.- RGMN: Residual-Gated Multimodal Network for Android Malware Detection via Configuration Text and Three-Channel Image.
.- Chinese Spelling Correction via Fine-Grained Multi Feature Fusion.
.- Multi-task learning and Multi-Scale Time series Fusion for Unexpected Refusal Prediction in Online Booking Services.
.- CDConvNet: Context-aware Convolutional Network with Dynamic Weight for Time Series Forecasting.
.- MultiDepNet: Integrating Semantic Dependency and Multimodal Complementary Information to Enhance Multimodal Depression Estimation.
.- Towards Online Surround-view System Calibration for Autonomous Driving.
.- Crossformer-based Bandwidth Prediction for Multipath Video Streaming.
