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Articles

Original Research

Published on 10 Jun 2024

Health of Things Melanoma Detection System—detection and segmentation of melanoma in dermoscopic images applied to edge computing using deep learning and fine-tuning models

in Data Science for Communications

José Jerovane Da Costa Nascimento
Adriell Gomes Marques
Yasmim Osório Adelino Rodrigues
Guilherme Freire Brilhante Severiano
Icaro de Sousa Rodrigues
Carlos Dourado
Luís Fabrício De Freitas Souza

Health of Things Melanoma Detection System—detection and segmentation of melanoma in dermoscopic images applied to edge computing using deep learning and fine-tuning models

Frontiers in Communications and Networks

doi 10.3389/frcmn.2024.1376191

1,551 views
1 citation

Original Research

Published on 07 Oct 2021

Entropy-Driven Stochastic Federated Learning in Non-IID 6G Edge-RAN

in Data Science for Communications

Brahim Aamer
Hatim Chergui
Mustapha Benjillali
Christos Verikoukis

Entropy-Driven Stochastic Federated Learning in Non-IID 6G Edge-RAN

Frontiers in Communications and Networks

doi 10.3389/frcmn.2021.739414

2,026 views
2 citations

Original Research

Published on 10 Sep 2021

Federated Learning for Audio Semantic Communication

in Data Science for Communications

Haonan Tong
Zhaohui Yang
Sihua Wang
Ye Hu
Omid Semiari
Walid Saad
Changchuan Yin

Federated Learning for Audio Semantic Communication

Frontiers in Communications and Networks

doi 10.3389/frcmn.2021.734402

4,958 views
24 citations

Original Research

Published on 12 Jul 2021

On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator

in Data Science for Communications

Igor Donevski
Jimmy Jessen Nielsen
Petar Popovski

On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator

Frontiers in Communications and Networks

doi 10.3389/frcmn.2021.709946

2,215 views
6 citations

Original Research

Published on 29 Apr 2021

FedPARL: Client Activity and Resource-Oriented Lightweight Federated Learning Model for Resource-Constrained Heterogeneous IoT Environment

in Data Science for Communications

Ahmed Imteaj
M. Hadi Amini

FedPARL: Client Activity and Resource-Oriented Lightweight Federated Learning Model for Resource-Constrained Heterogeneous IoT Environment

Frontiers in Communications and Networks

doi 10.3389/frcmn.2021.657653

3,400 views
21 citations