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S. Cherkaoui

72 papers hereh-index 334k citations268 works total

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

author position
  • middle author26
  • last author44

Across the 70 of 72 papers where every author was matched, so the position is known.

fields
  • cs.NI27
  • cs.LG11
  • eess.SP9
  • cs.ET7
  • cs.CR5
  • cs.DC4
same name
  • S. Cherkaoui — 1 paper, h 1

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
20172026
most citedElectrical Load Forecasting Using Edge Computing and Federated Learning

251 citations · 833 across the 65 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.ET2020

Design and Evaluation of a Receiver for Wired Nano-Communication Networks

Oussama Abderrahmane Dambri, Soumaya Cherkaoui

In this paper, we propose a bio-inspired receiver, which detects the electrons transmitted through a nanowire, then, it converts the detected information into a blue light using bi…

cs.DC2020★ 7 cited

Federated Edge Learning : Design Issues and Challenges

Afaf Taïk, Soumaya Cherkaoui

Federated Learning (FL) is a distributed machine learning technique, where each device contributes to the learning model by independently computing the gradient based on its local…

cs.ET2020★ 1 cited

A Physical Channel Model for Wired Nano-Communication Networks

Oussama Abderrahmane Dambri, Soumaya Cherkaoui

In this paper, we propose a new end-to-end system for wired nano-communication networks using a self-assembled polymer. The self-assembly of a polymer creates a channel between the…

cs.NI2020★ 35 cited

Massive IoT Access With NOMA in 5G Networks and Beyond Using Online Competitiveness and Learning

Zoubeir Mlika, Soumaya Cherkaoui

This paper studies the problem of online user grouping, scheduling and power allocation in beyond 5G cellular-based Internet of things networks. Due to the massive number of device…

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