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IEEE/ICACT20220347 Slide.12        [Big Slide]       [YouTube]	Oral Presentation
	The two properties of secret sharing based secure aggregation protocols that are robust to user dropout and acceptable overhead make it suitable for cross-device federation learning (where the client is a large number of mobile or IoT devices with limited computational power and unreliable communication). Additive secret sharing is also used in SAFER in combination with neural network update compression techniques. As shown in the diagram, this is a schematic of a secret sharing. Some secure aggregation protocols based on secret sharing are described below.

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