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Privacy Computing and User Data Protection Strategies in Social E-Commerce
This paper examines privacy computing technologies—including federated learning, secure multi-party computation (SMPC), and differential privacy—as solutions to balance data utility and privacy protection in social e-commerce. It highlights technical strategies such as decentralized modeling, noise-
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