AI RESEARCH
Decentralized Orchestration Architecture for Fluid Computing: A Secure Distributed AI Use Case
arXiv CS.LG
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ArXi:2603.12001v1 Announce Type: cross Distributed AI and IoT applications increasingly execute across heterogeneous resources spanning end devices, edge/fog infrastructure, and cloud platforms, often under different administrative domains. Fluid Computing has emerged as a promising paradigm for enhancing massive resource management across the computing continuum by treating such resources as a unified fabric, enabling optimal service-agnostic deployments driven by application requirements.