21 citations · 55 across the 14 of their papers we have counts for
18 papers
On Self-Adaptive Perception Loss Function for Sequential Lossy Compression
Sadaf Salehkalaibar, Buu Phan, Likun Cai +4
We consider causal, low-latency, sequential lossy compression, with mean squared-error (MSE) as the distortion loss, and a perception loss function (PLF) to enhance the realism of…
Rate-Distortion-Perception Tradeoff for Gaussian Vector Sources
Jingjing Qian, Sadaf Salehkalaibar, Jun Chen +5
This paper studies the rate-distortion-perception (RDP) tradeoff for a Gaussian vector source coding problem where the goal is to compress the multi-component source subject to dis…
Rate-Distortion-Perception Tradeoff Based on the Conditional-Distribution Perception Measure
Sadaf Salehkalaibar, Jun Chen, Ashish Khisti +1
This paper studies the rate-distortion-perception (RDP) tradeoff for a memoryless source model in the asymptotic limit of large block-lengths. The perception measure is based on a…
On the Choice of Perception Loss Function for Learned Video Compression
Sadaf Salehkalaibar, Buu Phan, Jun Chen +2
We study causal, low-latency, sequential video compression when the output is subjected to both a mean squared-error (MSE) distortion loss as well as a perception loss to target re…
M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion
Yangyi Liu, Stefano Rini, Sadaf Salehkalaibar +1
In federated learning (FL), the communication constraint between the remote learners and the Parameter Server (PS) is a crucial bottleneck. For this reason, model updates must be c…
Lossy Gradient Compression: How Much Accuracy Can One Bit Buy?
Sadaf Salehkalaibar, Stefano Rini
In federated learning (FL), a global model is trained at a Parameter Server (PS) by aggregating model updates obtained from multiple remote learners. Generally, the communication b…
On Distributed Lossy Coding of Symmetrically Correlated Gaussian Sources
Siyao Zhou, Sadaf Salehkalaibar, Jingjing Qian +4
A distributed lossy compression network with encoders and a decoder is considered. Each encoder observes a source and sends a compressed version to the decoder. The decoder pro…
Distributed Sequential Hypothesis Testing With Zero-Rate Compression
Sadaf Salehkalaibar, Vincent Y. F. Tan
In this paper, we consider sequential testing over a single-sensor, a single-decision center setup. At each time instant , the sensor gets samples and describes the…
State Masking Over a Two-State Compound Channel
Sadaf Salehkalaibar, Mohammad Hossein Yassaee, Vincent Y. F. Tan +1
We consider fundamental limits for communicating over a compound channel when the state of the channel needs to be masked. Our model is closely related to an area of study known as…
On Sum Secure Degrees of Freedom for K-User MISO Broadcast Channel With Alternating CSIT
Leyla Sadighi, Sadaf Salehkalaibar, Stefano Rini
In this paper, the sum secure degrees of freedom (SDoF) of the -user Multiple Input/Single Output (MISO) Broadcast Channel with Confidential Messages (BCCM) and alternating Chan…
Distributed Hypothesis Testing with Variable-Length Coding
Sadaf Salehkalaibar, Michele Wigger
The problem of distributed testing against independence with variable-length coding is considered when the \emph{average} and not the \emph{maximum} communication load is constrain…
Distributed Hypothesis Testing with Variable-Length Coding
Sadaf Salehkalaibar, Michele Wigger
This paper characterizes the optimal type-II error exponent for a distributed hypothesis testing-against-independence problem when the \emph{expected} rate of the sensor-detector l…
Covert Communication Over a Compound Channel
Sadaf Salehkalaibar, Mohammad Hossein Yassaee, Vincent Y. F. Tan
In this paper, we consider fundamental communication limits over a compound channel. Covert communication in the information-theoretic context has been primarily concerned with fun…
Distributed Hypothesis Testing based on Unequal-Error Protection Codes
Sadaf Salehkalaibar, Michele Wigger
Coding and testing schemes for binary hypothesis testing over noisy networks are proposed and their corresponding type-II error exponents are derived. When communication is over a…
Distributed Hypothesis Testing with Privacy Constraints
Atefeh Gilani, Selma Belhadj Amor, Sadaf Salehkalaibar +1
We revisit the distributed hypothesis testing (or hypothesis testing with communication constraints) problem from the viewpoint of privacy. Instead of observing the raw data direct…
Hypothesis Testing Over the Two-hop Relay Network
Sadaf Salehkalaibar, Michele Wigger, Ligong Wang
Coding and testing schemes and the corresponding achievable type-II error exponents are presented for binary hypothesis testing over two-hop relay networks. The schemes are based o…
On Hypothesis Testing Against Independence with Multiple Decision Centers
Sadaf Salehkalaibar, Michele Wigger, Roy Timo
A distributed binary hypothesis testing problem is studied with one observer and two decision centers. Achievable type-II error exponents are derived for testing against conditiona…
Key agreement over a 3-receiver broadcast channel
Mohsen Bahrami, Ali Bereyhi, Sadaf Salehkalaibar +1
In this paper, we consider the problem of secret key agreement in state-dependent 3-receiver broadcast channels. In the proposed model, there are two legitimate receivers, an eaves…