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EcoFair is introduced, a vertically partitioned inference framework for dermatology classification in which image and tabular inputs remain local to edge clients while only learned modality-specific representations are transmitted for server-side fusion.
ConceptSMILE provides an independent audit layer for evaluating the trustworthiness of concept-based XAI, a model-agnostic perturbation-based auditing framework for evaluating the reliability of concept-based explanations.
This paper investigates how multi-agent systems (MAS-based on large language models) can support actuarial risk modelling, with a particular focus on uncertainty quantification, and proposes a novel approach to uncertainty propagation using token-level log-probabilities and a Bayesian Network.
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