Results for tag: "Federated Learning"

Federated Learning is a type of Machine Learning and Data Mining that enables multiple parties to collaboratively train a model without sharing their data. It is a distributed learning approach that allows data to remain on the device or server where it is stored, while still allowing the model to be trained on the combined data. This approach is beneficial for organizations that need to protect sensitive data, as it allows them to keep their data secure while still allowing them to benefit from the collective data of other parties. Federated Learning is becoming increasingly popular as organizations look for ways to protect their data while still taking advantage of the benefits of Machine Learning and Data Mining. Companies in the Federated Learning market include Google, Microsoft, Amazon, IBM, and Apple. Show Less Read more