DEVA: Decentralized, Verifiable Secure Aggregation for Privacy-Preserving Learning

Georgia Tsaloli; Bei Liang; Carlo Brunetta; Gustavo Banegas; Aikaterini Mitrokotsa

doi:10.1007/978-3-030-91356-4_16

Conference Papers Year : 2021

DEVA: Decentralized, Verifiable Secure Aggregation for Privacy-Preserving Learning

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Georgia Tsaloli

Function : Author

Chalmers University of Technology [Gothenburg, Sweden]

Bei Liang

Function : Author

Beijing Institute of Mathematical Sciences and Applications

Carlo Brunetta

Function : Author

Chalmers University of Technology [Gothenburg, Sweden]

Gustavo Banegas

Function : Author
PersonId : 1101643

Geometry, arithmetic, algorithms, codes and encryption

Aikaterini Mitrokotsa

Function : Author

Chalmers University of Technology [Gothenburg, Sweden]

University of St.Gallen

Domains

Computer Science [cs] Cryptography and Security [cs.CR]

Gustavo Banegas : Connect in order to contact the contributor

https://hal.inria.fr/hal-03456382

Submitted on : Tuesday, November 30, 2021-7:54:01 AM

Last modification on : Tuesday, November 8, 2022-3:09:23 PM

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hal-03456382 , version 1 (30-11-2021)

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HAL Id : hal-03456382 , version 1
DOI : 10.1007/978-3-030-91356-4_16

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Georgia Tsaloli, Bei Liang, Carlo Brunetta, Gustavo Banegas, Aikaterini Mitrokotsa. DEVA: Decentralized, Verifiable Secure Aggregation for Privacy-Preserving Learning. ISC 2021 - Information Security 24th International Conference, Nov 2021, Held Virtually, France. pp.296-319, ⟨10.1007/978-3-030-91356-4_16⟩. ⟨hal-03456382⟩

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DEVA: Decentralized, Verifiable Secure Aggregation for Privacy-Preserving Learning

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