In fields like healthcare and education, where privacy, security, and compliance are crucial, traditional data management methods are falling short. Federated Learning, a decentralized AI approach, addresses these challenges by keeping data on local devices, enabling intelligent applications without compromising privacy or regulatory standards like GDPR and HIPAA. This article highlights how Federated Learning is transforming special needs education by securely tracking developmental milestones, reducing administrative burdens, and promoting collaboration. With its growing use in healthcare, finance, and education, Federated Learning offers a future where innovation and privacy work together to create smarter, more effective solutions.

The advancements in Artificial Intelligence, particularly through neural networks, deep learning, and now Generative AI, open up a world of possibilities for creating more accessible and supportive environments for individuals with special needs. With AI’s capabilities, we’re on the brink of transforming personalized education, enhancing communication for non-verbal individuals, and designing therapy and interventions that are finely tuned to each child’s unique needs.