AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Latent world models are routinely selected, checkpointed and ablated on one-step prediction loss, on the assumption that a model which predicts the next latent better is a better model. In model-based RL this assumption is known to be unreliable; we ask whether it also fails for latent world models, where the training...
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.
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