Federated Deep Learning for Wireless Capsule Endoscopy Analysis: Enabling Collaboration Across Multiple Data Centers for Robust Learning of Diverse Pathologies

Haroon Wahab, Irfan Mehmood, Hassan Ugail, Javier Del Ser, Khan Muhammad

Abstract: Highlights•Privacy-aware framework for anomaly recognition in WCE via federated learning.•Addressing the inconsistent data labels across capsule endoscopic datasets.•Critical analysis for federated vs centralized learning with non-sharing constraint.•Federated learning models outperform centralized models, preserving data privacy.