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IoMT: Privacy and Class Imbalance Solutions by dipak7.dksahoo is a document available to read on EtoBox.

The Internet of Medical Things (IoMT) utilizes IoT technologies to enhance healthcare through automated diagnoses and real-time data transmission, but raises privacy concerns due to sensitive medical data sharing. Federated Learning (FL) is proposed to address these issues by enabling collaborative model training without sharing raw data, although challenges like data distribution and transmission quality persist. Recent advancements focus on improving FL performance and addressing data privacy through tech

Author
dipak7.dksahoo
Language
EN