Comprehensive overview of current, completed, and planned research initiatives spanning AI ethics, quantum computing, cybersecurity, and sustainable technology.
Developing privacy-preserving machine learning frameworks that enable hospitals to collaboratively train AI models without sharing sensitive patient data. This project focuses on creating robust federated learning protocols that maintain HIPAA compliance while advancing medical research capabilities.
Funding
₹ 20 Lac
Key Collaborators
Name One
Name Two
Impact
Enables secure collaboration across 15+ hospitals
Key Achievements
Developing privacy-preserving machine learning frameworks that enable hospitals to collaboratively train AI models without sharing sensitive patient data. This project focuses on creating robust federated learning protocols that maintain HIPAA compliance while advancing medical research capabilities.
Funding
₹ 20 Lac
Key Collaborators
Name One
Name Two
Impact
Enables secure collaboration across 15+ hospitals
Key Achievements
Developing privacy-preserving machine learning frameworks that enable hospitals to collaboratively train AI models without sharing sensitive patient data. This project focuses on creating robust federated learning protocols that maintain HIPAA compliance while advancing medical research capabilities.
Funding
₹ 20 Lac
Key Collaborators
Name One
Name Two
Impact
Enables secure collaboration across 15+ hospitals
Key Achievements
Developing privacy-preserving machine learning frameworks that enable hospitals to collaboratively train AI models without sharing sensitive patient data. This project focuses on creating robust federated learning protocols that maintain HIPAA compliance while advancing medical research capabilities.
Funding
₹ 20 Lac
Key Collaborators
Name One
Name Two
Impact
Enables secure collaboration across 15+ hospitals
Key Achievements