• AI driven distributed systems
• Large scale AI/LLM training infrastructure
• AI native systems optimization and RL based tuning
• Confidential computing and trusted execution
• Fault tolerance, resilience and self healing systems
• Cloud–edge–grid continuum and hybrid compute
• CXL memory disaggregation and composable infrastructure
• Next generation grid architectures and fabrics
• High performance and computational storage
• Performance modeling, benchmarking and optimization
• Resource management, scheduling and runtime systems
• Distributed data management, provenance and FAIR systems
• Scientific, biomedical, industrial and environmental applications
• Digital twins, real time simulation and co simulation
• Quantum and hybrid distributed computing
• Middleware, programming models and service mesh architectures
• Blockchain, distributed ledgers and decentralized coordination
• Observability, telemetry and distributed tracing
• Sustainable and carbon aware computing
• Energy efficient AI training and green LLM infrastructure
• Federated learning and cross domain distributed AI
• Distributed governance, collaboration and societal implications

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.