… supporting efficient and intelligent wireless communications. Apart … distributed ML in wireless
communications. Specifically, the latest applications of distributed ML in wireless networks …

… of how distributed learning can be efficiently and effectively deployed over wireless edge
networks. We present a detailed overview of several emerging distributed learning paradigms, …

… network environments. As a result, new challenges for distributed optimization in wireless
network management have emerged, namely, decentralized computation rules for network …

… a large number of IoT devices widely distributed on the ground [3]… Distinct device distribution
between the areas and time-… , and thus build distributed intelligence to smartly schedule the …

… to the integration of distributed intelligence and wireless communication systems into the
electrical power distribution network in order to perform decentralised/distributed power flow …

… the use of a distributed intelligent approach to control the generation of D2D networks. More
… Another class of wireless networks built dynamically in an ad hoc network manner with a …

… in future wireless networks to ensure high quality of the mobile services while reducing capital
expenditures (CAPEX) and operational expenditures (OPEX) of the radio access network. …

… The new breed of intelligent devices and high-stake applications (drones, augmented/…
change calling for distributed, low-latency and reliable ML at the wireless network edge (referred …

… of wireless sensors for use of distributed intelligence and data fusion. In this issue the topics
have been discussed in terms of design, deployment, implementation, and experimental …

… ISC, we apply sensor networks for structural health monitoring… as a wireless data collection
system with its own in network … of our implementation of the sensor network. Section 3 covers …