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A. H. Sayed

139 papers hereh-index 8838.7k citations704 works total

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

author position
  • sole author1
  • first author1
  • middle author7
  • last author128

Across the 137 of 139 papers where every author was matched, so the position is known.

fields
  • cs.MA33
  • cs.LG28
  • math.OC28
  • eess.SP19
  • eess.SY12
  • cs.IT9
same name
  • A. H. Sayed — 1 paper, h 3
  • A. H. Sayed — 1 paper, h 6

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
20082023
most citedSpatial-Spectral Joint Detection for Wideband Spectrum Sensing in Cognitive Radio Networks

753 citations · 5.3k across the 110 of their papers we have counts for

collaborators
Showing 2020 · cs.MAShow all

4 papers · 2 filters

cs.MA2020

Gramian-Based Adaptive Combination Policies for Diffusion Learning over Networks

Y. Efe Erginbas, Stefan Vlaski, Ali H. Sayed

This paper presents an adaptive combination strategy for distributed learning over diffusion networks. Since learning relies on the collaborative processing of the stochastic infor…

cs.MA2020

Adaptive Social Learning

Virginia Bordignon, Vincenzo Matta, Ali H. Sayed

This work proposes a novel strategy for social learning by introducing the critical feature of adaptation. In social learning, several distributed agents update continually their b…

cs.MA2020

Second-Order Guarantees in Centralized, Federated and Decentralized Nonconvex Optimization

Stefan Vlaski, Ali H. Sayed

Rapid advances in data collection and processing capabilities have allowed for the use of increasingly complex models that give rise to nonconvex optimization problems. These formu…

cs.MA2020

Learning Graph Influence from Social Interactions

Vincenzo Matta, Virginia Bordignon, Augusto Santos +1

In social learning, agents form their opinions or beliefs about certain hypotheses by exchanging local information. This work considers the recent paradigm of weak graphs, where th…

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