Salmane Douch - IEEE Xplore Author Profile

Scheduled Maintenance: On Tuesday, May 20, IEEE Xplore will undergo scheduled maintenance from 1:00-5:00 PM ET (6:00-10:00 PM UTC). During this time, there may be intermittent impact on performance. We apologize for any inconvenience.

Subscribe
ADVANCED SEARCH

Author details

< Back

Salmane Douch

Publications
4
Citations
32
Publications by Year
20222024
Co-Authors:
Show All Co-Authors (6)
Image of author Salmane Douch

Salmane Douch

Affiliation

National School of Computer Science and Systems Analysis (ENSIAS)
Mohammed V University in Rabat
Rabat, Morocco

Publication Topics

Biography

Salmane Douch received the degree in electronics engineering from the Department of Electrical Engineering, Hassania School of Public Works, Casablanca, in 2020. He is currently pursuing the Ph.D. degree with the Smart System Labs, Mohammed V University in Rabat. He is also a Research Assistant in a research project funded by the USAID, Al Akhawayn University in Ifrane. His main research interests include cloud computing, edge computing, edge intelligence, AI safety, and security at the edge.(Based on document published on 28 October 2024).
Publications
4
Citations
32
Publications by Year
20222024
Co-Authors:
Show All Co-Authors (6)
Author's Published Works

Showing 1-4 of 4 results

  • Sort

Filter Results

Show

Sort By

Results

Novel Lightweight Method for Detecting Backdoor Attacks in Edge-Deployed Neural Networks

Salmane Douch;M. Riduan Abid;Khalid Zine-Dine;Driss Bouzidi;Driss Benhaddou

2024 7th International Conference on Advanced Communication Technologies and Networking (CommNet)
Year: 2024 | Conference Paper |
The increasing utilization and demand for intelligent tasks at the end-user level, such as autonomous vehicles, virtual assistants, telesurgery, etc., has elevated the risk of various attacks targeting intelligent models used in these applications. One of the most prominent types of attacks is the backdoor attack. In backdoor attacks, adversaries clandestinely inject poisoned data using a trigger ...Show More

Novel Lightweight Method for Detecting Backdoor Attacks in Edge-Deployed Neural Networks

Salmane Douch;M. Riduan Abid;Khalid Zine-Dine;Driss Bouzidi;Driss Benhaddou

Year: 2024 | Conference Paper |

Early Exists Federated Learning (EEFL): Brining Training to the Edge

Salmane Douch;M. Riduan Abid;Khalid Zine-Dine;Driss Bouzidi;Safae Bourhnane;Driss Benhaddou

2024 Sixth International Conference on Intelligent Computing in Data Sciences (ICDS)
Year: 2024 | Conference Paper |
With the proliferation of IoT devices, the core network is experiencing overwhelming congestion. Edge Com-puting emerges as a valuable and promising solution to relocate computing and intelligence from the cloud to the edge, where end-user devices are located. Consequently, reducing the increasing privacy concerns about hosting data in the cloud. However, this transition presents numerous challeng...Show More

Early Exists Federated Learning (EEFL): Brining Training to the Edge

Salmane Douch;M. Riduan Abid;Khalid Zine-Dine;Driss Bouzidi;Safae Bourhnane;Driss Benhaddou

Year: 2024 | Conference Paper |

Split Edge-Cloud Neural Networks for Better Adversarial Robustness

Salmane Douch;Mohamed Riduan Abid;Khalid Zine-Dine;Driss Bouzidi;Driss Benhaddou

IEEE Access
Year: 2024 | Volume: 12 | Journal Article |
Cloud computing is a critical component in the success of 5G and 6G networks, particularly given the computation-intensive nature of emerging applications. Despite all it advantages, cloud computing faces limitations in meeting the strict latency and bandwidth requirements of applications such as eHealth and automotive systems. To overcome these limitations, edge computing has emerged as a novel p...Show More

Split Edge-Cloud Neural Networks for Better Adversarial Robustness

Salmane Douch;Mohamed Riduan Abid;Khalid Zine-Dine;Driss Bouzidi;Driss Benhaddou

Year: 2024 | Volume: 12 | Journal Article |

Edge Computing Technology Enablers: A Systematic Lecture Study

Salmane Douch;Mohamed Riduan Abid;Khalid Zine-Dine;Driss Bouzidi;Driss Benhaddou

IEEE Access
Year: 2022 | Volume: 10 | Journal Article |
Cited by: Papers (32)
With the increasing stringent QoS constraints (e.g., latency, bandwidth, jitter) imposed by novel applications (e.g., e-Health, autonomous vehicles, smart cities, etc.), as well as the rapidly increasing number of connected IoT (Internet of Things) devices, the core network is becoming increasingly congested. To cope with those constraints, Edge Computing (EC) is emerging as an innovative computin...Show More

Edge Computing Technology Enablers: A Systematic Lecture Study

Salmane Douch;Mohamed Riduan Abid;Khalid Zine-Dine;Driss Bouzidi;Driss Benhaddou

Year: 2022 | Volume: 10 | Journal Article |

IEEE Account

Purchase Details

Profile Information

Need Help?

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.