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Author

Kumar Dilip

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#federated learning Book Oct 2026

Explainability and Interpretability in Medical Image Analysis

Deep learning models can achieve high performances in medical image analysis on tasks such as lesion detection (CT/MRI) and grading of tissue sections (histopathology), however, the black-box nature hinders the understanding of decision rationales to clinicians. This opacity engenders suspicion, regulatory obstacles (e...

Raj Kishor Verma, Kumar Dilip, Satyendra Vyas et al. · 0 citations

Incentive Models and Token Economics in Learning Networks

Decentralized learning networks based on blockchain are based on strongly incentivized models and token economics to promote collaboration. Properly structured incentive mechanisms can be used to ensure high rates of participation, data sharing, and sustained engagement in the long term, whereas token economics provide...

Raj Kishor Verma, Atul Kumar Rai, Kumar Dilip et al. · 0 citations

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