… Based on the principles of over-the-air computation, we propose a computation and
communication co-design approach based on the principles of over-the-air computation for fast …

… The middleware software primarily offers efficient and reliable communications over the
wireless network while maintaining appropriate connections to application software and …

… of those used by modern LTE cellular standards. Finally, … networks [10] and training using
cross-entropy style GAN loss functions has shown significantly improved performance over the …

… application of the concepts described above in wireless networks, we consider a toy example
… analog computation approaches for learning over the wireless edge. The figure compares …

… In the near future, it is anticipated that massive number of Internet of things (IoT) devices and
machines will be connected to wireless networks to automate the operations of our daily life…

… and then finetune the receiver with training data obtained from over-theair transmissions. …
10, our testbed for overthe-air transmissions consisted of a USRP B200 as transmitter and a …

… of distributed gradient descent over wireless networks. Such a training process … wireless
medium becomes large. To tackle this issue, one promising solution called over-theair FEEL (Air-…

… Abstract—Over-the-air computation (AirComp) has emerged as a promising technique in …
wireless networks, which enables swift functional computation among distributed wireless …

… ”, an over-the-air consensus protocol for wireless networks, which significantly reduces the
communication and computational overhead in a wireless network by … over the same wireless …

… over-the-air [13]–[15] and off-the-air. The delay and efficiency associated with distributed ML
and distributed computing over large scale wireless networks … of large models over the air. …