How Collaborative Machine Learning is Shaping AI's Future
Collaborative Machine Learning (CML) is the process of multiple entities—whether individuals, organizations, or even machines—joining forces to enhance machine learning models by combining their data, computational resources, and expertise. The core idea is that collaboration leads to better outcomes by improving the accuracy, efficiency, and overall performance of models. CML relies on a distributed approach, enabling innovation without the need for centralized access to sensitive information or intellectual property, a key concern for industries working with privacy-sensitive data.
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