Concept Drift Detection in Federated Networked Systems

Concept Drift Detection in Federated Networked Systems

13 September 2021

Li Yang

Papers citing "Concept Drift Detection in Federated Networked Systems"

7 / 7 papers shown

Title
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis Li Yang Mirna El Rajab Abdallah Shami Sami Muhaidat 95 6 0 28 Feb 2025
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective Jeng-Lin Li Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen OOD 56 2 0 20 Feb 2024
An NWDAF Approach to 5G Core Network Signaling Traffic: Analysis and Characterization D. Manias Ali Chouman Abdallah Shami 12 17 0 21 Sep 2022
Federated Learning under Distributed Concept Drift Ellango Jothimurugesan Kevin Hsieh Jianyu Wang Gauri Joshi Phillip B. Gibbons FedML 32 47 0 01 Jun 2022
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 38 77 0 26 Nov 2021
PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams Li Yang D. Manias Abdallah Shami 70 55 0 10 Sep 2021
A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams Li Yang Abdallah Shami 66 103 0 21 Apr 2021