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Model Compatibility
Flux supports a wide range of machine learning frameworks, including TensorFlow and Keras, allowing seamless integration and compatibility with various models and data types.
Cost-Effectiveness
By leveraging consumer devices, Flux significantly reduces the costs associated with machine learning operations, making it affordable and scalable for businesses.
Data Security
Utilizing homomorphic encryption, Flux ensures that data remains secure during processing, preventing unauthorized access to sensitive information.
Distributed Processing
Flux efficiently uses idle computational resources from consumer devices to perform machine learning tasks, enabling large-scale data processing in microtasks.
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