… distributed intelligence approaches under five categories and evaluates each distributed
intelligence … In this part, we review a set of recent approaches on distributed intelligence. These …

… energy, storage, distributed intelligence and new neural networks for handling complexity
and stochastic challenges. Important opportunities for society and new fundamental research …

… the major issues, challenges, and opportunities of distributed intelligence in wireless networks
that falls under the umbrella of native AI wireless networks, with a focus on intelligent data …

… review of prevailing ML, DL, and distributed system algorithms as applied in healthcare
settings. Within our work, we outline key challenges that both current and future developers may …

… AI provides new solutions by centralized or distributed intelligence to analyse and extract
meaningful information and provide decision support tools. Using the analytic power of AI with …

… distributed intelligence at the global level. Finally, we will survey how such distributed intelligence
… to efficiently solve problems and exploit opportunities”. What are considered problems, …

… the edge is called distributed intelligence. This work highlights the distributed intelligence
concept in IoT. It presents a deep investigation of distributed intelligence between the cloud …

… propagation framework as we formulated it here appears like a very promising approach
for modeling the complex distributed processes via which problems and opportunities are …

… Finally, we highlight the challenges facing AIoT and some potential research
opportunities. … 4) We highlight challenges in AIoT and some potential research …

… distributed intelligence … distributed intelligence are identified and the authors’ views are
dissected to provide guidelines for the design of a “future network for distributed Intelligence". …