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	<title>Earth Mover&#8217;s Distance &#8211; BIOENGINEER.ORG</title>
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		<title>Earth Mover&#8217;s Distance Steers Smarter Knowledge Sharing in Federated Learning</title>
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		<pubDate>Mon, 05 Oct 2026 05:47:36 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[CIFAR-100]]></category>
		<category><![CDATA[client drift]]></category>
		<category><![CDATA[data heterogeneity]]></category>
		<category><![CDATA[decoupled knowledge distillation]]></category>
		<category><![CDATA[distributed machine learning]]></category>
		<category><![CDATA[Earth Mover's Distance]]></category>
		<category><![CDATA[federated learning]]></category>
		<category><![CDATA[knowledge distillation]]></category>
		<category><![CDATA[meta-learning]]></category>
		<category><![CDATA[model aggregation]]></category>
		<category><![CDATA[non-IID data]]></category>
		<category><![CDATA[privacy-preserving AI]]></category>
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					<description><![CDATA[Researchers have developed FedML-DKD, a federated learning framework that uses Earth Mover's Distance to adaptively balance knowledge distillation and meta-learning, boosting accuracy by up to 10.87 percentage points under highly heterogeneous data.]]></description>
		
		
		
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