… to calculate the majority vote (MV) for federated edge learning (FEEL). With the proposed
approach, edge devices (EDs) transmit the signs of local stochastic gradients, ie, votes, by …

… users and connects them to the wired side of the network. The wireless users can connect
to … adopted from the wired networks and found to be unsuitable for wireless networks. Many …

… With the motivations of eliminating the latency caused by orthogonal multiple access and
enabling distributed training in mobile wireless networks, we propose a simple-but-effective …

… the wireless channel, attackers might be able to access the local industrial wireless network
even … By taking advantage of wireless channel characteristics, channel authentication is well-…

… networks. So we must design simpler, more reliable voting scheme to adapt the wireless sensor
networks. … -system-online, we will explain the designing of our majority voting scheme as …

… In light of SensorRank, an efficient in-network voting algorithm, called TrustVoting, is …
majority voting and distance weighted voting, two state-of-the-art approaches for in-network faulty …

… intended for IDSs research in wireless network. To the best … for IDSs in IEEE 802.11
wireless network. Moreover, other … , ie, majority vote, weighted majority vote, and product rule …

… network [1, 2]. This chapter mainly introduces machine learning-based network security for
6G wireless … of the many technologies involved in network security ie, the intrusion detection …

… In the current work, weighted majority voting was used to classify the data where PSO was
… Gandhi, “A stacked ensemble learning model for intrusion detection in wireless network,” …

… Finally, in [16], the decision for a prespecified location is made by majority vote in its
neighborhood, but this was only derived for a three-sensor system. No analytical performance …