Vijayakumar Soundrapandian

Deep Learning for Big Data: A Survey of Architectures,Distributed Frameworks, and Emerging Challenges

This survey reviews the intersection of deep learning and big data along three axes: the neural architectures used to model large-scale data, the distributed computing frameworks that make training such models tractable, and the persistent challenges of scalability, data quality, privacy, andinterpretability that constrain real-world deployment.