Blockchain and Deep Learning for Smart Healthcare

17Blockchain and Deep Learning: Research Challenges, Open Problems, and Future

Akansha Singh^1* and Krishna Kant Singh²

¹SCSET, Bennett University, Greater Noida, India

²Delhi Technical Campus, Greater Noida, India

Abstract

Blockchain and deep learning are two disruptive technologies that have attracted considerable interest and possess transformative capabilities across diverse domains. This chapter provides a comprehensive examination of the research obstacles, unresolved issues, and forthcoming possibilities that arise at the convergence of these two disciplines. Blockchain, an immutable and decentralized ledger, has caused significant disruptions in conventional data management paradigms by offering trust, transparency, and security across diverse domains, including banking, supply chain, and healthcare. Nevertheless, the integration of blockchain technology with deep learning presents a range of complex issues. The scalability of blockchain networks is a significant barrier in terms of accommodating the processing requirements of deep learning models. It is imperative to develop efficient consensus methods and network protocols in order to guarantee the prompt execution of intricate computations. In addition, the preservation of privacy holds significant importance in deep learning tasks that include large amounts of data. This underscores the need for innovative methods to securely and selectively share data on a blockchain platform. In contrast, deep learning has revolutionized ...