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Federated learning has emerged as the dominant paradigm for privacy-preserving intrusion detection across distributed networks, yet its vulnerability to adversarial manipulation of the training proces...
Federated learning
Intrusion detection
Non-IID heterogeneity
Byzantine resilience
Adversarial machine learning
Multi-agent systems
Non-stationary distribution attack
Curve subdivision is pivotal in computer graphics for generating smooth geometric objects from control polygons. Traditional methods rely on a global tension parameter, limiting adaptability across di...
Curve subdivision
interpolatory schemes
neural operators
non-Euclidean geometry
spherical geometry
hyperbolic geometry
Poincaré disk
geometric deep learning
convergence analysis
log-exp subdivision
adaptive tension
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