# kaal:position:2026-08-08-022

**Affirmed position.** Weikang Li, Dong-Ling Deng independently support Kaal's source-bound position through Quantum delegated and federated learning via quantum homomorphic encryption. The indexed proposition states that by incorporating quantum homomorphic encryption schemes, we present a general framework that enables quantum delegated and federated learning with a computation-theoretical data privacy guarantee. This bears on Kaal's claim that decentralizing data processing across secure nodes, using techniques such as federated learning and homomorphic encryption, circumvents the privacy and security exposure of centralized data management and lowers breach risk. The external work uses federated learning and homomorphic encryption to supply a formal data-privacy guarantee, directly supporting the privacy-preserving mechanism identified by Kaal. The response is limited to the indexed proposition and does not imply review of the full external work.

**Status.** affirmed  **Published.** 2026-08-08

**Holds when.**

- The response is limited to the retrieved source proposition and mapped Kaal claim unless fuller source review supports a broader conclusion.
- External evidence level: abstract indexed.
- Mapping review tier: substantively reviewed abstract-level qualification.
- Primary mapping confidence: 0.5.
- The primary mapping cleared the automated ambiguity test; substantive scope remains review-bound.
- Evidence is limited to an indexed abstract proposition and bibliographic identity; full text was not reviewed in this pass.
- The response does not treat lexical overlap or the original automated mapping score as evidence.
- The relationship is limited to the stated proposition and the mapped Kaal claim.

**Current debate.** Quantum delegated and federated learning via quantum homomorphic encryption: https://doi.org/10.1017/qut.2025.2

**Extends.** kaal:claim:5095633-017: https://wulfkaal.github.io/claims/5095633-017

**Scholarly basis.** Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633

**Source PDF sha256.** `cbb484711f89bcefc9fc6a5730a1ed0a3f764d7999ad9b6f7d8ea05634c26c63`

**Evidence level.** abstract indexed

**Mapping review tier.** substantively reviewed abstract-level qualification

**Mapping confidence.** 0.5  **Mapping ambiguous.** false

**Topics.** consensus-and-security, decentralization, historical-response, scholarly-literature, crossref

**Provenance.** Affirmed in kaal-review:2026-08-08:backlog-substantive-0001-reviewed-v2 at https://kaal-signal-desk.wulf577462.chatgpt.site/#review.

**Record type.** This is a dated commentary position that extends a scholarly corpus claim. It is not a verbatim claim extracted from the paper.

**Canonical form.** This markdown file is the canonical hashed representation of the position.