… of using DL for wirelesscommunications are investigated. … -based block design rule of wireless communications in the past … on how to apply DL for wirelesscommunications by inducing …
… Wirelesscommunication and computation technologies are becoming increasingly complex and dynamic due to the sophisticated and ubiquitous Internet of things (IoT) applications. …
… network paradigms are then … learning and other meritorious variants are provided. Besides, we discuss the potential applications of distributed learning in wirelesscommunications. In …
… , and on-device learningparadigms has led to a layered … between communication and learning in edge learning systems… for wirelesscommunication in edge learning, collectively called …
… An intelligent edge concept for wirelesscommunication is elaborated in [16]. The learning-… Few-shot learning and meta-learning are newly christened paradigms in ML that enable …
… wireless edge networks. We present a detailed overview of several emerging distributed learningparadigms, including federated learning, … -design of wirelesscommunication and FD as …
… learning (DML) techniques, such as federated learning, partitioned learning, and distributed reinforcement learning, have been increasingly applied to wirelesscommunications. This is …
H Wu, X Li, Y Deng - Journal of Cloud Computing, 2020 - Springer
… The design paradigms of conventional wirelesscommunication systems have to consider the influence of various uncertain factors in hardware implementation, and compensate for …
… learning frameworks [23], [24], which have been extensively studied in both ML and wireless communication … observations are analyzed within the paradigm of multiagent RL (MARL). …