The paper asserts that combining federated learning, large language model features, and homomorphic encryption delivers the best cross-cloud privacy and training performance, but reports no quantitative evidence.
Multi-party secured collaboration architecture from cloud to edge,
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Cross-Cloud Data Privacy Protection: Optimizing Collaborative Mechanisms of AI Systems by Integrating Federated Learning and LLMs
The paper asserts that combining federated learning, large language model features, and homomorphic encryption delivers the best cross-cloud privacy and training performance, but reports no quantitative evidence.