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Showing 1 to 2 of 2 for “"Secure Aggregation"”.
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Breaking Privacy in Model-Heterogeneous Federated Learning
… leak information about a given client's dataset, secure aggregation was proposed. With secure aggregation, the server only receives the aggregate gradient update from the set of all sampled clients without being able to access any individual gradient. One challenge in FL is the systems-level …
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Privacy-Preserving and Robust Data Analytics under Distributed Settings
… also develop a method for multi-dimensional data aggregation that reduces noise through attribute correlations, enhancing query accuracy without sacrificing privacy. Additionally, we introduce a mechanism for privacy-preserving range queries and frequency estimation under local d-privacy with …