Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework

3 November 2022

Papers citing "Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework"

5 / 5 papers shown

Title
Security and Privacy Enhancing in Blockchain-based IoT Environments via Anonym Auditing Peyman Khordadpour Saeed Ahmadi 22 2 0 03 Mar 2024
Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs Ioannis Mavromatis Theodoros Spyridopoulos P. Carnelli W. Chin Ahmed Khalil ... Leigh Chase Lamogha Chiazor Chris Preston Rahul Aftab Khan 8 0 0 22 Dec 2023
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments The-Yuan Chow Usman Raza Ioannis Mavromatis Aftab Khan 13 3 0 15 May 2023
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices Ioannis Mavromatis Adrián Sánchez-Mompó Francesco Raimondo James Pope Marcello Bullo ... Vijay S. Kumar P. Carnelli G. Oikonomou Theodoros Spyridopoulos Aftab Khan 6 5 0 03 Nov 2022
PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams Li Yang D. Manias Abdallah Shami 57 49 0 10 Sep 2021