Chairs

Introduction

The rapid proliferation of ubiquitous IoT devices, autonomous systems, and massive data sources has driven a crucial paradigm shift towards Edge Computing to meet ultra-low latency, high-bandwidth, and high-reliability demands. However, managing complex distributed resources and highly dynamic network topologies—especially in next-generation and B5G/6G environments—poses significant challenges for traditional centralized architectures. This track focuses on the intersection of Artificial Intelligence and Edge Computing, emphasizing how intelligent algorithms can revolutionize distributed computing paradigms. We aim to gather cutting-edge theoretical breakthroughs, algorithmic innovations, and practical applications addressing critical issues such as efficient complex task offloading, dynamic resource allocation, and high-performance computing across diverse edge environments.

Topics

• Deep Reinforcement Learning for Dynamic Resource Optimization
• Intelligent Edge Computing Frameworks for Complex Distributed Systems
• Resource Management in High-Performance and Distributed Computing Systems
• Cooperative Edge-Cloud Task Offloading with Cache-Aware Decision Making

Important Date

We are pleased to announce the important dates for PDCAT 2026. Please mark your calendars!
All deadlines are based on Anywhere on Earth (AoE), at midnight on the specified date.

• Paper Submission Deadline: 31 August, 2026 (AoE)
• Notification of Acceptance: 10 October, 2026
• Camera-Ready Submission Deadline: 31 October, 2026
• Conference Dates: 4-6 December, 2026