
As cyberattacks grow increasingly sophisticated and data breaches become more costly, cybersecurity remains a critical concern for organizations deploying AI systems. Federated learning, a novel approach to AI training, is emerging as a potential solution to these vulnerabilities, offering a way to secure the development and deployment of AI models without compromising on data privacy or system performance. This innovative








