Federated Learning: A Collaborative, Privacy-Preserving, Decentralized Approach to Artificial Intelligence | Faruk Caglar

التعلم الفيدرالي: نهج تعاوني، محافظ على الخصوصية، ولامركزي للذكاء الاصطناعي | فاروق كاجلار

One of the key challenges in Artificial Intelligence is to utilize diverse and large volumes of data from different organizations to build strong, safe, and privacy-preserving AI models, all without centralizing sensitive proprietary data. This means getting different organizations who own sensitive data to collaborate safely, which is a big challenge in all fields. In this talk, Dr. Faruk will present what the Federated Learning approach is and performance comparison of the Breast Invasive Carcinoma model with centralized approach to tackle these crucial issues and resolve the above challenges.

Faruk Caglar — فاروق كاجلار

Researcher