Abstract: This paper proposes an enhanced privacy-preserving data aggregation scheme, which balances the onerous task of extracting reasonable data value ...
The proposed aggregation scheme can remove both potentially malicious and redundant data before aggregation so that it can provide a robust aggregation result.
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This paper proposes an enhanced privacypreserving data aggregation scheme, which balances the onerous task of extracting reasonable data value and ...
This paper proposes an enhanced privacy-preserving data aggregation scheme, which balances the onerous task of extracting reasonable data value and ...
Jul 1, 2024 · We propose a new privacy-enhanced data aggregation scheme based on FL. We apply not only additive secret sharing (ASS) with homomorphic encryption (HE) but ...
This paper proposes an enhanced privacy-preserving data aggregation scheme, which balances the onerous task of extracting reasonable data value and ...
Abstract: This paper proposes an enhanced privacypreserving data aggregation scheme, which balances the onerous task of extracting reasonable data value and ...
Sep 6, 2023 · To cope with these issues, we propose a new privacy-enhanced data aggregation scheme based on FL. We apply not only additive secret sharing (ASS) ...
The aggregation model defines how aggregation works, and the attack model defines what kinds of attacks our secure data aggregation scheme should protect ...
[PDF] AI-Enhanced Secure Data Aggregation for Smart Grids with ...
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Nov 13, 2024 · Bonawitz et al. [12] proposed a privacy-preserving scheme for multidimensional data aggregation, specifically designed for machine learning ...