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	<title>IoT healthcare &#8211; BIOENGINEER.ORG</title>
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		<title>Tunicate-Inspired AI Learns to Train Hospital Models Without Leaking Patient Data</title>
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		<pubDate>Mon, 05 Oct 2026 02:08:40 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Anomaly Detection]]></category>
		<category><![CDATA[blockchain]]></category>
		<category><![CDATA[convolutional neural networks]]></category>
		<category><![CDATA[differential privacy]]></category>
		<category><![CDATA[energy-aware computing]]></category>
		<category><![CDATA[federated learning]]></category>
		<category><![CDATA[healthcare AI]]></category>
		<category><![CDATA[IoT healthcare]]></category>
		<category><![CDATA[Reinforcement Learning]]></category>
		<category><![CDATA[Swarm Intelligence]]></category>
		<category><![CDATA[Transformer]]></category>
		<category><![CDATA[zero-knowledge proofs]]></category>
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					<description><![CDATA[Researchers in India have unveiled a federated learning framework that combines reinforcement learning, tunicate swarm optimization, differential privacy and blockchain auditing to train accurate healthcare AI models while keeping patient data local and minimizing energy use.]]></description>
		
		
		
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