Integration of Federated Learning and Blockchain for the Provision of Secure Big data Analytics: Systematic Literature Review

Big data allows the optimization of complex supply chains while analyzing data based on machine learning. Despite its usefulness, data analysis is followed by some problems and challenges, such as privacy violations. Federated learning is a convenient solution to the privacy problems facing big data that relies on distributed training. The desire of researchers about the security of federal learning has increased, especially with the spread of recent attacks on federated learning algorithms. The current paper reviews the most important studies that combine blockchain technology and federal learning to protect and secure data privacy.