In practical simultaneous information and energy transmission (SIET), th...
Federated learning (FL) is a distributed method to train a global model ...
This work investigates functional source coding problems with maximal
di...
We study the GAN conditioning problem, whose goal is to convert a pretra...
Significant inter-symbol interference (ISI) challenges the achievement o...
Consider a social learning problem in a parallel network, where N
distri...
We consider the problem of coding for computing with maximal distortion,...
Full-duplex communication allows a terminal to transmit and receive sign...
It is commonly observed that higher workload lowers job performance. We ...
The CEO problem has received a lot of attention since Berger et al. firs...
This work explores a sequential decision making problem with agents havi...
This paper considers the problem of simultaneous information and energy
...