Abstract: Conventional transfer learning offers a feasible solution to address distribution discrepancy by extracting and transferable knowledge from source domains to the target domain. Integrating ...
Abstract: Wireless sensor networks (WSNs) typically consist of failure-prone sensor nodes and more reliable sink nodes. To prevent data loss, sensor nodes must regularly transfer their data to sink ...
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