Federated Learning for Privacy-Preserving Healthcare Data Analysis in the Age of Cybersecurity Threats
This examination explores joined picking up gathering appraisals, unequivocally United
Averaging (FedAvg), Weighted Consolidated Averaging (FedAvg-W), Bound together …
Averaging (FedAvg), Weighted Consolidated Averaging (FedAvg-W), Bound together …
Enhancing Security and Privacy in Cloud–Based Healthcare Data Through Machine Learning
A Shukla, HS Pokhariya, J Michaelson… - … for Innovations in …, 2023 - ieeexplore.ieee.org
It is becoming more and more important for healthcare providers to protect the integrity and
security of sensitive medical data as they use cloud computing for data processing and …
security of sensitive medical data as they use cloud computing for data processing and …
BUILDING A CONCEPT FOR CYBER SECURITY OF AN EDUCATIONAL ORGANIZATION IN BULGARIA.
KE Kirilova - Business Management/Biznes Upravlenie, 2024 - search.ebscohost.com
Background: The topic of cyber security of organizations is becoming more relevant for
modern societies. In that area, both scientific research and practical applications of various …
modern societies. In that area, both scientific research and practical applications of various …
Privacy-Preserving Data Aggregation Techniques for Enhanced Security in Wireless Sensor Networks
AA Vora, T Maheboobbhai, PVM Faaiz… - Enhancing Security in …, 2024 - igi-global.com
In the SecureSense system, the authors propose a machine learning methodology for data
aggregation that prioritizes privacy preservation while maintaining data utility. This approach …
aggregation that prioritizes privacy preservation while maintaining data utility. This approach …