Agreement: Quantum delegated and federated learning via quantum homomorphic encryption
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.
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