Homomorphic federated learning schemes enabled pedestrian and vehicle detection system-Reference-Cited by-同舟云学术

Homomorphic federated learning schemes enabled pedestrian and vehicle detection system

Published:2023-10 Issue: Volume:23 Page:100903
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Mohammed Mazin Abed^ORCID,Lakhan Abdullah,Abdulkareem Karrar Hameed,Zebari Dilovan Asaad,Nedoma Jan,Martinek Radek,Kadry Seifedine,Garcia-Zapirain Begonya

Funder

European Commission

Ministerstvo Školství, Mládeže a Tělovýchovy

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Engineering (miscellaneous),Information Systems,Computer Science (miscellaneous),Software

Reference25 articles.

1. Two-layer federated learning with heterogeneous model aggregation for 6g supported internet of vehicles;Zhou;IEEE Trans. Veh. Technol.,2021

2. Federated learning for object detection in autonomous vehicles;Jallepalli,2021

3. Efficient and secure pedestrian detection in intelligent vehicles based on federated learning;Wang,2022

4. FLASH: Federated learning for automated selection of high-band mmwave sectors;Salehi,2022

5. Vehicle and pedestrian detection algorithm based on lightweight YOLOv3-promote and semi-precision acceleration;Xu;IEEE Trans. Intell. Transp. Syst.,2022

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