◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

L. Vega

19 papers hereh-index 151.3k citations87 works total

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

author position
  • middle author11
  • last author8

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • eess.SP5
  • cs.IT4
  • stat.ML3
  • cs.LG2
  • eess.IV2
  • cs.CL1
same name
  • L. Vega — 73 papers, h 52
  • L. Vega — 17 papers, h 8
  • L. Vega — 8 papers, h 4
  • L. Vega — 3 papers, h 4
  • L. Vega — 3 papers, h 2
  • L. Vega — 2 papers, h 2

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
20112024
most citedOn Fundamental Trade-offs of Device-to-Device Communications in Large Wireless Networks

54 citations · 124 across the 19 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

eess.SP2022★ 4 cited

An Exponentially-Tight Approximate Factorization of the Joint PDF of Statistical Dependent Measurements in Wireless Sensor Networks

Juan Augusto Maya, Leonardo Rey Vega, Andrea M. Tonello

We consider the distributed detection problem of a temporally correlated random radio source signal using a wireless sensor network capable of measuring the energy of the received…

cs.LG2022★ 15 cited

Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning

Georg Pichler, Marco Romanelli, Leonardo Rey Vega +1

Federated Learning is expected to provide strong privacy guarantees, as only gradients or model parameters but no plain text training data is ever exchanged either between the clie…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.