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Secure Multimodal Federated Optimization via Hierarchical DNA-Based Key Management

Yuping Yan, Yaochu Jin · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.27644 · cited by 0 works (OpenAlex) · open-access PDF

Japanese

コンポーネント特有のマルチモダルデータに対する統合された最適化により、分散型機構は、医療画像、ゲノムプロファイル、臨床記録、生理学的信号を使用して共有モデルをコラボレーション的に最適化できるが、モダル性特有のデータを最適化することにより、最適化ライフサイクルを通じてモダル性特有のデータを保護することは、特に分散型モダルが分離型暗号キーと選択型ローカルアクセスを必要とする場合に十分に調査されない。この論文は、ローカルデータ保護を連邦化された更新保護から分離するセキュアなマルチモダル連邦化された顧客最適化フレームワークを提案する。信頼できるキー管理機関は、ハイブ

Machine translation (Meta M2M100); the English original follows.

Abstract

Federated optimization over heterogeneous multimodal data enables distributed institutions to collaboratively optimize a shared model using medical images, genomic profiles, clinical records, and physiological signals without centralizing raw data. However, protecting modality-specific data throughout the optimization lifecycle remains insufficiently explored, particularly when heterogeneous modalities require separate encryption keys and selective local access. This paper proposes a secure multimodal federated optimization framework that separates local data protection from federated-update protection. A trusted key-management authority securely provisions one client key through Hybrid Public Key Encryption (HPKE), from which each client locally derives modality-specific symmetric keys using the domain-separated HMAC-based Extract-and-Expand Key Derivation Function (HKDF). Heterogeneous modalities are mapped into a unified DNA-domain representation and processed through a DNA-origami-inspired structural transformation before authenticated encryption with AES-GCM. During local optimization, only the required modalities are decrypted within an authorized client environment. Individual model updates are independently protected through secure aggregation, allowing the coordinator to observe only aggregated updates rather than each client's contribution. Together, these components establish a structured approach to modality-specific protection and secure collaborative optimization, integrating hierarchical key management, authenticated local encryption, and aggregation-level update protection within a unified framework.

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Topics: Computer science, Encryption, Key (lock), Key management, Modalities, Computer security

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