Detecting Malicious Clients Based on Autoencoders in Federated Learning for Indoor Localization

Federated learning (FL) has recently emerged as a promising paradigm for WiFi fingerprinting–based indoor localization by enabling collaborative model training without sharing raw data. However, the ad hoc nature of FL makes it vulnerable to malicious clients that can launch data poisoning an...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Akram Hussain, Muhammad Fahad, Shama Siddiqui, Muhammad Shoaib Siddiqui
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2026-01-01
Serija:	IEEE Access
Teme:	Indoor localization WiFi fingerprinting federated learning malicious clients autoencoder
Online dostop:	https://ieeexplore.ieee.org/document/11450353/
Oznake:	Označite Brez oznak, prvi označite!