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		<title>Zero-Knowledge Proofs and Smart Scheduling Tame Bursty Industrial Cloud–Edge Workloads</title>
		<link>https://bioengineer.org/zero-knowledge-proofs-and-smart-scheduling-tame-bursty-industrial-cloud-edge-workloads/</link>
		
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		<pubDate>Mon, 12 Oct 2026 15:52:57 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[adaptive scheduling]]></category>
		<category><![CDATA[Bayesian Optimization]]></category>
		<category><![CDATA[BLS signatures]]></category>
		<category><![CDATA[Bulletproofs]]></category>
		<category><![CDATA[bursty workloads]]></category>
		<category><![CDATA[cloud-edge collaboration]]></category>
		<category><![CDATA[congestion prediction]]></category>
		<category><![CDATA[data protection]]></category>
		<category><![CDATA[industrial Internet of Things]]></category>
		<category><![CDATA[latency reduction]]></category>
		<category><![CDATA[LSTM networks]]></category>
		<category><![CDATA[zero-knowledge range proofs]]></category>
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					<description><![CDATA[Researchers in Beijing have unveiled a cloud–edge scheduling framework that combines zero-knowledge range proofs with LSTM-based congestion prediction, cutting industrial task latency by up to 18.8 percent while protecting sensitive node data.]]></description>
		
		
		
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