Distributed Computing and Artificial Intelligence, 22nd International Conference

This book serves as a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing. This edition brings together experience, current work, and promising future trends related to distributed computing, artificial intelligence, and their applications to provide efficient solutions to real-world problems. The technical program this year is both high in quality and diverse, featuring contributions from well-established and evolving research areas. Specifically, 138 papers were submitted by authors from 30 different countries, representing a truly global network of research activity. The DCAI'25 technical program has selected 34 full papers for the main track, and as in previous editions, there will be special issues in ranked journals. This symposium is organized by the SMAC Team of the CRIStAL Lab of the University of Lille. The authors would like to thank all the contributing authors and the members of the program committee for their hard and highly valuable work.

Highlights the latest research on distributed computing and artificial intelligence Presents the results of the 22nd International Conference on Distributed Computing and Artificial Intelligence 2025 Written by respected experts in the field

Inhalt

Fine-Tuned Large Language Models for Inclusive Education Athlete Support: Performance Evaluation and Benchmarking.- Computational Cost Reduction in Image Recognition Using Graph-Structured NNs with GCN.- AdaCons: Adaptive Consensus Gradient Aggregation for Distributed Training.- Towards using Rules/CHR for Maze Generation.- Computational model to identify harvest ready cocoa pods to improve harvest planning in Colombia's coffee regions using deep learning: Preliminary results.- SmartDelivery: IoT Platform for Last Mile Delivery Optimization with Real-Time Data and ML-Based Algorithm Selection.- Anomaly Detection in Smart Rural IoT Systems.- Crop health monitoring using Vegetation Indices Derived from Satellite Remote Sensing in wine yard DO Ribera del Duero.- Minimizing Model Complexity in Fault Classification Using Inter-Axis Phase Difference.- Coordination and Underspecification in Type Theory of Acyclic Recursion.