A recent paper from Uttam Ghosh, Ph.D., associate professor, cybersecurity, has been recognized for its global impact. The Web of Science, a publisher-independent global citation database, has selected “Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System” as a Highly Cited Paper.
This accolade highlights the paper’s significant impact on the global research community, placing it among the top one percent of cited works in its field.
“It is an honor to receive this accolade,” says Dr. Ghosh. “But what pleases me the most is to see this recognition of our School’s contributions to advancing privacy-preserving technologies and ensuring secure, smart, and efficient solutions for health care,”
The paper is a notable example of Meharry’s SACS ongoing commitment to pursuing novel cybersecurity and health care innovations.
The paper explores the application of federated learning in IoT-based healthcare systems, introducing homomorphic encryption to protect private medical data from attacks. The work stands out for its unique approach to balancing privacy with computational and communication costs, as well its application to real-world health care scenarios, such as its use of the HAM10000 medical dataset for skin lesion classification.
“Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System” is published in the September-October 2023 issue of “IEEE Transactions on Network Science and Engineering.”
