AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Machine unlearning for large language models seeks to remove specified knowledge while preserving general capability, yet current methods often treat an entire response as the unit of forgetting. This coarse granularity causes unnecessary utility loss when the forget target is only a small set of sensitive facts embedd...
The outcome of this study indicates the areas of P2P trading projects that can be improved by the application of blockchain technology.
SaFeGNN is proposed, a Secure and Fair Federated Graph Neural Network framework that jointly enforces privacy protection and fairness guarantees and secures the communication process via additive secret sharing and client-level differential privacy, achieving stronger security guarantees compared to existing solutions.
GRAPHSU is proposed, a graph-guided controller that expands the deletion scope beyond forget seeds by constructing a weighted support-route graph, propagating deletion pressure through it, and applying graded forgetting strengths to high-risk neighbors, demonstrating that effective enterprise unlearning requires contro...
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