… In comparison, this survey article provides a new classifications of distributed intelligence
approaches under five categories and evaluates each distributed intelligence approach …

… is called distributed intelligence. This work highlights the distributed intelligence concept in
IoT. … Accordingly, this work highlights the role of Distributed Intelligence models that combines …

… In [6], distributed intelligence is defined as ”cooperation between devices… distributed
intelligence involves both processing and networking elements. We consider distributed intelligence …

… The use of Artificial Intelligence, machine learning, neural networks, and data analytic …
distributed intelligence on edge devices, known as distributed edge AI or edge intelligence. …

… distributed intelligence (DI) to overcome these challenges. We propose a Mobile-Agent
Distributed Intelligence … ), where Tangle is a distributed ledger platform that enables scalable, …

… intelligence Internet of Things … intelligence and Internet of Things from four aspects: (1)
architectures, techniques, and hardware platforms for artificial intelligence Internet of Things; (2) …

… which is to offer low-level intelligence for IoT applications. This low-level intelligence along
with cloud-based intelligence form the distributed intelligence in the IoT realm. Furthermore, a …

… intelligence. However, MAS research generally lacks an adequate understanding of modern
distributed … a way to place decentralized intelligence in distributed computing, specifically, …

… , virtual and cyber worlds through intelligent ‘Digital Twins’ by generating constant streams
of data that can be harnessed into actionable distributed intelligence at the edge, with human, …

… This work presents a distributed intelligence model (DIM) that integrates the features of
edge and cloud layers. Distributed intelligence (DI) in IoT is a paradigm that uses models, …