Paper 2026/2394

Post-Quantum Dropout-Resilient Verifiable Secure Aggregation for Federated Learning

Fateme Sadat Azimi, Sharif University of Technology
Hossein Pilaram, Sharif University of Technology
Javad Mohajeri, Sharif University of Technology
Abstract

Secure weighted aggregation is essential for privacy preserving federated learning, yet existing schemes do not simultaneously provide post-quantum security, resilience to client dropouts, verifiability against malicious servers, and resistance to bounded collusion between the server and clients. This paper presents PQ-DVSA, a verifiable secure aggregation scheme that provides post-quantum security and resilience to client dropouts. PQ-DVSA protects both clients’ updated local models and aggregation weights, enables reconstruction of the aggregate mask for the active set after client dropouts, and allows clients to verify the server’s aggregation result under bounded collusion. Experimental results show that PQ-DVSA achieves learning performance comparable to exact weighted aggregation and reduces the runtime for encrypted submission at each client by up to 96% compared with SWAS, the closest existing scheme to PQ-DVSA.

Metadata
Available format(s)
PDF
Category
Cryptographic protocols
Publication info
Preprint.
Keywords
Privacy preserving federated learningsecure weighted aggregationpost-quantum verifiable aggregation)
Contact author(s)
fs azimii @ ee sharif edu
pilaram @ sharif edu
mohajer @ sharif edu
History
2026-10-08: approved
2026-10-07: received
See all versions
Short URL
https://ia.cr/2026/2394
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2026/2394,
      author = {Fateme Sadat Azimi and Hossein Pilaram and Javad Mohajeri},
      title = {Post-Quantum Dropout-Resilient Verifiable Secure Aggregation for Federated Learning},
      howpublished = {Cryptology {ePrint} Archive, Paper 2026/2394},
      year = {2026},
      url = {https://eprint.iacr.org/2026/2394}
}
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