Author

Jia Zou

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#machine learning Conference Open access Jun 2026

MUC-FL: Block-Wise Marginal Utility Contribution for Communication-Efficient Federated Learning

This work proposes Block-Wise Marginal Utility Contribution (MUC), a framework that selectively transmits only the most impactful data blocks based on their contribution to model performance, and applies it to a multi-modal dataset integrated from multiple MIMIC clinical datasets.

Akshay Mhatre, Vikram Karthick, Deepti Gupta et al. · IEEE International Conferenc... · 1 citation

#machine learning Preprint Sep 2026

IDSPACE: A Novel Document Generator for Reliable Evaluation of Digital Identity Verification Systems [Extended Technical Report]

This work introduces IDSpace, a new dataset consisting of high-quality synthetic documents across ten European ID types and proposes model-guided Bayesian optimization, which tunes generation parameters to maximize both visual similarity and prediction consistency with target-domain models given only a few samples from...

Lulu Xie, Yan-Cheng Wang, Kanchan Chowdhury et al. · 0 citations