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IEEE/ICACT20220347 Slide.22        [Big Slide]       [YouTube]	Oral Presentation
	Although DP makes learning accuracy degradation and model disclosure, this privacy violation and potential accuracy degradation may be tolerable for mobile users of cross-device federation learning. Therefore, like secret-sharing-based secure aggregation protocols, DP-based secure aggregation protocols are more suitable for cross-device federation learning, and it has the advantage of compatibility and low overhead over secret-sharing-based secure aggregation protocols. Moreover, DP can easily be mixed with other techniques to form hybrid protocols (e.g., Hybridalpha, which will be described below). Some DP-based secure aggregation protocols are described below.

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