id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
biht-340	Krishnasamy, Sathya ; Govindarajan, Ilangovan	Model Complexity Reduction for ZKML Healthcare applications: Privacy protection and inference optimization for ZKML applications: A reference implementation with synthetic ICHOM dataset	2024	8	.pdf	application/pdf	4548	227	38	1 (page number not for citation purpose) TECHNICAL BRIEFS & SHORT REPORTS Model Complexity Reduction for ZKML Healthcare Applications: Privacy Protection and Inference Optimization for ZKML Applications—A Reference Implementation With Synthetic ICHOM Dataset Sathya Krishnasamy, MS;1 and Ilangovan Govindarajan, MD2 1President and Principal, ChainAim, Newington, Connecticut, USA, 2Chief Medical Officer, GuardianMedx, Las Vegas, Nevada Corresponding Author: Sathya Krishnasamy, Email: sathya.krishnasamy@chainaim.com DOI: https://doi.org/10.30953/bhty.v7.340 Keywords: blockchain, diabetes, distributed ledger, model complexity reduction privacy, machine learning, ICHOM, International Consortium for Health Outcomes Measurement, ZKML, zero-knowledge machine learning Abstract Web 3.0 represents the next significant evolution of the internet that embodies the underlying decentralized network architectures, distributed ledgers, and advanced AI capabilities. A key strategy for mitigating the risks associated with healthcare data is restricting access to data at the source and reducing unnecessary data movements.	cache/biht-340.pdf	txt/biht-340.txt