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researcher

Justin Singh Kang

UC Berkeley

4 papers hereh-index 455 citations5 works total

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

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IT2
  • cs.LG1
  • eess.SP1
affiliations
  • UC Berkeley
Homepage

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedMinimum Feedback for Collision-Free Scheduling in Massive Random Access

3 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

eess.SP2023

Efficiently Computing Sparse Fourier Transforms of q-ary Functions

Yigit Efe Erginbas, Justin Singh Kang, Amirali Aghazadeh +1

Fourier transformations of pseudo-Boolean functions are popular tools for analyzing functions of binary sequences. Real-world functions often have structures that manifest in a spa…

cs.LG2023★ 2 cited

The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning

Justin Kang, Ramtin Pedarsani, Kannan Ramchandran

Modern data aggregation often involves a platform collecting data from a network of users with various privacy options. Platforms must solve the problem of how to allocate incentiv…

cs.IT2022★ 1 cited

Scheduling Versus Contention for Massive Random Access in Massive MIMO Systems

Justin Kang, Wei Yu

Massive machine-type communications protocols have typically been designed under the assumption that coordination between users requires significant communication overhead and is t…

cs.IT2020★ 3 cited

Minimum Feedback for Collision-Free Scheduling in Massive Random Access

Justin Singh Kang, Wei Yu

Consider a massive random access scenario in which a small set of k active users out of a large number of n potential users need to be scheduled in b≥k slots. What is the…

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