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Farhad Shirani

33 papers hereh-index 9279 citations43 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author16
  • middle author14
  • last author3

Across the 33 of 33 papers where every author was matched, so the position is known.

fields
  • cs.IT22
  • eess.SP4
  • cs.SI3
  • cs.CR1
  • cs.DB1
  • cs.LG1
same name
  • Farhad Shirani — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142025
most citedA General Framework for Temporal Fair User Scheduling in NOMA Systems

25 citations · 33 across the 26 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.LG2024

CorBin-FL: A Differentially Private Federated Learning Mechanism using Common Randomness

Hojat Allah Salehi, Md Jueal Mia, S. Sandeep Pradhan +2

Federated learning (FL) has emerged as a promising framework for distributed machine learning. It enables collaborative learning among multiple clients, utilizing distributed data…

cs.IT2024

On Non-Interactive Simulation of Distributed Sources with Finite Alphabets

Hojat Allah Salehi, Farhad Shirani

This work presents a Fourier analysis framework for the non-interactive source simulation (NISS) problem. Two distributed agents observe a pair of sequences Xd and Yd drawn a…

cs.IT2024

Non-Linear Analog Processing Gains in Task-Based Quantization

Marian Temprana Alonso, Farhad Shirani, Neil Irwin Bernardo +1

In task-based quantization, a multivariate analog signal is transformed into a digital signal using a limited number of low-resolution analog-to-digital converters (ADCs). This pro…

quant-ph2024★ 1 cited

Quantum Advantage in Non-Interactive Source Simulation

Hojat Allah Salehi, Farhad Shirani, S. Sandeep Pradhan

This work considers the non-interactive source simulation problem (NISS). In the standard NISS scenario, a pair of distributed agents, Alice and Bob, observe a distributed binary m…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.