Data privacy is at the heart of what we do at Devfi. By blocking access to the raw data in distributed datasets, we keep your data private and secure.
Federating the algorithm training and preserving the privacy of the data will help you quickly unlock access to diverse and valuable data sets.
Streaming real-time data allows for continuous learning and speeds up the training process by allowing for the federation and parallelization of data. Quickly gain access to trained models and insightful information.
Distribute your data among multiple locations and train models on them concurrently. This will enable you to train faster with less computational power or storage space needed from each individual location.
Switch, an indigenous product offering from us, is a platform for distributed machine learning to unify any framework or programming language and accelerate parallel data training across smartphones, edge, and other devices.
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