Federated learning (FL) is a decentralized learning framework that allows a central server and multiple devices. referred to as clients. to collaboratively train a shared model without transmitting their private data to a central server. This approach helps to preserve data privacy and reduce the risk of information leakage. https://tftoyes.shop/product-category/reactivate/