INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 7/9/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
PRoVeFL: Private Robust and Verifiable Aggregation in Federated Learning arXiv:2607.06612v1 Announce Type: new Abstract: Federated Learning (FL) enables multiple clients to collaboratively train machine learning models while retaining data locality, thereby enhancing user privacy. However, traditional FL frameworks rely on a centralized aggregation server and assume honest-but-curious clients, making them susceptible to both server-side inference and client-side poisoning at…
https://arxiv.org/abs/2607.06612
sha256:15f8da68a1e8651bb85512fe8f0d3648c6c5bd1664da2f87a022ac97d2bb4649
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ATT&CK techniques
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