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In Federated Learning, a model is trained from user interaction with mobile devices. Federated Learning enables mobile phones to collaboratively learn over a shared prediction model while keeping all the training data on the device, changing the ability to perform machine learning techniques by the need to store the data on the cloud.
The post A Beginners Guide to Federated Learning appeared first on Analytics India Magazine.
Last month, Google unveiled a first-of-its-kind, general-purpose transpiler for fully homomorphic encryption (FHE). The new update allows developers to compute encrypted data without having to access any personally identifiable information. The open-source libraries and tools to perform FHE operations on an encrypted dataset are available on GitHub. Besides this, there have been plenty of open…
The post Google Launches General Purpose Transpiler For Fully Homomorphic Encryption appeared first on Analytics India Magazine.