Twice the Gradient, Twice the Privacy Risk in Federated Learning? A Case Study of Federated Recommendation Systems - researchr publication

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Zhenyu Deng, Ying Liu, Ming Tang, Xiangyu Zhao. Twice the Gradient, Twice the Privacy Risk in Federated Learning? A Case Study of Federated Recommendation Systems. In International Joint Conference on Neural Networks, IJCNN 2025, Rome, Italy, June 30 - July 5, 2025. pages 1-8, IEEE, 2025. [doi]

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