… of performing joint learning and communications when FL is deployed in wireless networks.
… the co-design of wireless communication and FD as opposed to treating them separately. …

… -driven wireless communications to … learning algorithms at each individual node can be
further improved through knowledge transfer. First of all, in the field of wireless communication, tra…

… The actual use of mmWave frequencies to gain access to new spectrum at higher frequency
bands has defined a new era of wireless communications [150], [151]. Nevertheless, a …

… Wireless communication is a means of transmitting data from one point to another without …
at an accelerating rate, bringing in the era of big data. Machine learning has been applied in a …

… of the key enablers in the B5G era of wireless communication as it offers ‘parallel …
learning-based solutions for wireless communication. The author of [87] presented a federated …

… research in deep learning being heavily used in wireless communications problems.
However, there is a wellknown concern regarding the sensitivity of deep learning-based …

… processing, and embedded machine learning. He was the recipient of … wireless
communications and networking, network intelligence, IoT, ultra-reliable and low-latency …

… (DML) is instrumental under different wireless network settings for … learning tasks in a
distributed fashion. This is critical for future wireless networks [11], in the Internet-of-Things (IoT) era…

… allocation in wireless communications [34]. For example, unsupervised learning are … air-ground-sea
integrated network) in 6G era as shown in Fig. 7. By integrating with satellite …

… The rapid developments in machine learning will result in efficient intelligent networks in 6G
… In previously mobile communication era, the users were really concerned about peak rate, …