Federated learning, a machine learning approach that allows models to be trained across multiple decentralized devices or servers holding local data samples, relies heavily on encryption for secure collaboration. As this trend gains traction, tech leaders will need to ensure robust encryption methods are in place to protect data privacy and integrity.
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