Privacy Threat and Defense for Federated Learning With Non-i.i.d. Data in AIoT
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DOI: 10.1109/tii.2021.3073925
Abstract: Under the needs of processing huge amounts of data, providing high-quality service, and protecting user privacy in artificial intelligence of things (AIoT), federated learning (FL) has been treated as a promising technique to facilitate distributed… read more here.
Keywords: privacy threat; federated learning; non data; privacy ... See more keywords