👉 Federated Computing, or Federated Computing, is a distributed computing paradigm that enables multiple devices or organizations to collaboratively process and analyze data without centralizing it. In this model, data remains on local devices or within private servers, and only aggregated insights or model updates are shared across the network. This approach enhances data privacy and security, as sensitive information stays within its original environment, while still leveraging the collective computational power of a diverse set of devices. Federated Computing is particularly useful in scenarios like healthcare, finance, and IoT, where data privacy and regulatory compliance are paramount. By allowing decentralized collaboration, it facilitates more efficient and secure machine learning and data analysis across various domains.
