Motivated by distributed learning with Big Data sets problems, we study a distributed testing
against independence problem with multiple terminals. We connect the problem at hand to a …

The Poisson interference channel, which models optical communication systems with
multiple transceivers in the short-noise-limited regime, is investigated. Conditions for the …

In this paper, we consider distributed testing problems with cascaded encoders, which allow
cascaded communications among encoders so that each encoder can utilize messages …

Motivated by distributed inference over big datasets problems, we study multiterminal
distributed inference problems when each terminal employs vector quantizer. The use of …

As the main basic building blocks of the interference networks, in this paper the broadcast
channel, the classical interference channel (CIC), and the cognitive radio channel (CRC) are …

In these series of multi-part papers, a systematic study of fundamental limits of
communications in interference networks is established. Here, interference network is …

Motivated by distributed inference over big datasets problems, we study multi-terminal
distributed hypothesis testing problems in which each terminal has data related to only one …

One of the key open problems in network information theory is to obtain the capacity region
for the two-user Interference Channel (IC). In this paper, new results are presented for this …

In this paper, the sum capacity of the Poisson Z-interference channel that models optical
communication systems with multiple transceivers is investigated. First, the capacity region …

Due to the growth of size and scale of the dataset, data are naturally collected or stored in
multiple terminals in many scenarios. In these cases, each terminal may not have full …