… the network edge. … IoT system with distributed intelligence, we design and build a proof-of-concept
prototype for the three-tier system for one of the most common use cases in Intelligent …

… A novel distributed architecture that extends Apache NiFi to enable stream data processing
at the Edge of the IoT network is presented in [36]. Edge Cluster Stream Processing (…

… FL in mobile networks and IoT is challenging. This paper uses the O-RAN architecture to
deploy and optimize FL as a distributed intelligence method for distributed IoT networks. We …

… distributed intelligence approaches in IoT and focuses on the motivations and challenges
for distributed intelligence in IoT. … ’s nodes of IOTA network. the following paragraphs describes …

… network of human and technological agents. The eventual integration of all these systems is
expected to produce a distributed intelligence at … the Internet of Things, an emerging network …

… Thus, there is the opportunity to evolve interoperable networks of devices and … for IoT
environments is that of Multi-Agent Systems (MAS) [1], which are based on distributed intelligence …

… Since approaches and techniques reviewed in this survey rely on artificial intelligence
and deep neural networks, we start first by providing a brief background of deep learning. A …

… distributed intelligence which is a cost-efficient solution that enables a flexible prediction
process distributed within a network … of the art in Internet of Things, distributed machine learning, …

… -BAsed NETworkS (COBANETS), intelligent communication systems which are much
more than just a collection of smart or cognitive nodes, and instead include a network-wide …

… In this article, the frameworks of centralized and distributed AI-enabled IoT networks are
introduced. Key technical challenges, including random access and spectrum sharing (spectrum …