THE UNITED NATIONS' RESEARCH INITIATIVE- TDR GLOBAL HAS AWARDED RECOGNITION TO KONNIFEL'S RESEARCH INTERNSHIP PROGRAMME AND MENTORSHIP PROGRAMME

Intern Under
Research Scholar

Computer Science Engineering

Dr B R Ambedkar National Institute of technology Jalandhar

Federated Learning for Secure and Ethical AI Applications Internship

Field of Internship

Computer Science Engineering

Research Area of Internship

Artificial intelligence and Machine learning

Nature of Work

Paid (30000)

About Internship

Research Scholar , Department of Computer Science Engineering, from Dr B R Ambedkar National Institute of technology Jalandhar , is accepting interns interested in the field of Computer Science Engineering, in the research area of Artificial intelligence and Machine learning.

The selected interns will get a unique opportunity to work on Federated Learning (FL)—a cutting-edge approach to collaborative machine learning that ensures user data remains private. Unlike traditional centralized methods, Federated Learning allows model training across multiple devices or institutions without transferring raw data. Interns will explore how FL works, study its architecture, and apply privacy-preserving techniques like differential privacy and homomorphic encryption. You’ll gain hands-on exposure to how FL is revolutionizing fields such as: Healthcare: Training diagnostic models without sharing patient records. Finance: Enhancing fraud detection while protecting customer data. Smart Cities & IoT: Learning from edge devices like sensors and cameras without compromising privacy. Personalized AI: Powering tools like Google Gboard with on-device training. This internship is ideal for students with an interest in AI/ML, data security, and ethical technology. You’ll learn to balance technical innovation with privacy compliance (e.g., GDPR, HIPAA) and develop solutions that make AI more responsible and trustworthy.

Desired Skills/Techniques

Data Analysis, Reading and Writing, Data Structures, Python,

Who is eligible?

Bachelors/Masters

Mode of the Internship

Virtual

Open Positions

The number of interns being selected is flexible and dependent on the quality of applications for this Internship.

Internship Duration

12 Months

Paid/Unpaid

Paid (30000)

Application opens on

Available round the
year

Application Deadline

Available round the
year

Starting date of Internship

Available round the
year

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