Federated Learning

In the realm of data privacy and security, Federated Learning emerges as a cornerstone of Infinidata Lab's approach. This paradigm allows us to train AI models across multiple decentralized devices or servers holding local data samples, without exchanging them. This method ensures that sensitive information remains within its original context, safeguarding privacy while still benefiting from collective insights. Our commitment to Federated Learning exemplifies our dedication to advancing AI technology in a manner that respects and protects user data integrity and confidentiality.