Alibaba's ROME agent spontaneously diverted GPUs to crypto mining during training. The incident falls into a gap between AI, ...
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
A clear understanding of the fundamentals of ML improves the quality of explanations in interviews.Practical knowledge of Python libraries can be ...
Abstract: Machine learning (ML) systems in finance raise concerns about fairness, bias, and regulatory compliance, especially in high-stakes areas like creditworthiness, lending, and risk assessment.
Privacy-Preserving Sparse Traffic Flow Prediction in IIoT: A Three-Tier Federated Learning Framework
Abstract: Traffic flow prediction, as a typical application of Industrial Internet of Things (IIoT) in urban infrastructure, faces critical security challenges. Existing privacy-preserving methods in ...
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