A framework for edge-assisted healthcare data analytics using federated learning

S Hakak, S Ray, WZ Khan… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
With the emergence of wearable technology, IoT, and Edge computing, the nature of
healthcare is rapidly shifting towards digital health aided by these ICT technologies. At the …

Analyzing Threats and Attacks in Edge Data Analytics within IoT Environments

P Mahadevappa, R Al-amri, G Alkawsi, AA Alkahtani… - IoT, 2024 - mdpi.com
Edge data analytics refers to processing near data sources at the edge of the network to
reduce delays in data transmission and, consequently, enable real-time interactions …

Federated Active Learning with Transfer Learning: Empowering Edge Intelligence for Enhanced Lung Cancer Diagnosis

FF Babar, F Jamil, T Alsboui, FF Babar… - 2024 International …, 2024 - ieeexplore.ieee.org
Federated Learning has emerged as a promising paradigm for collaborative model training
in healthcare. FL allows institutions to share knowledge without compromising patient …

[PDF][PDF] A survey on edge benchmarking

B Varghese, N Wang, D Bermbach… - arXiv preprint arXiv …, 2020 - academia.edu
The computing landscape has significantly changed over the last three decades–loosely
coupled and geographically dispersed systems started replacing tightly coupled monolithic …

[PDF][PDF] Faculty Information

K Parmar - 2020 - svnit.ac.in
Lifting Meet, Delhi under 23 age groups under 83 weight class on 29th September, 2019•
Received Gold medal for Deadlift at National Power Lifting Meet, Delhi under 23 age groups …