Edge-Assisted Democratized Learning Toward Federated Analytics

IEEE Internet of Things Journal(2022)

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摘要
A recent take toward federated analytics (FA), which allows analytical insights of distributed data sets, reuses the federated learning (FL) infrastructure to evaluate the summary of model performances across the training devices. However, the current realization of FL adopts single server-multiple client architecture with limited scope for FA, which often results in learning models with poor gene...
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关键词
Computational modeling,Training,Distributed databases,Computer architecture,Data models,Performance evaluation,Analytical models
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