2021
DOI: 10.1007/s40747-021-00344-7
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Mutual learning-based efficient synchronization of neural networks to exchange the neural key

Abstract: Synchronization of two neural networks through mutual learning is used to exchange the key over a public channel. In the absence of a weight vector from another party, the key challenge with neural synchronization is how to assess the coordination of two communication parties. There is an issue of delay in the current techniques in the synchronization assessment that has an impact on the security and privacy of the neural synchronization. In this paper, to assess the complete coordination of a cluster of neura… Show more

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Cited by 4 publications
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“…In basic sciences, synchronization indicates that various processes join each other at a specific point or perform similarly. In the recent decades, many scientists have studied synchronization in different contexts, including motor synchronization (Rinott and Tractinsky, 2022), synchronization in computer science (Sarkar, 2021), synchronization of mechanical systems (Zhang et al, 2021), power system synchronization (Choi and Seo, 2021), and synchronization of chaotic systems (Assali, 2021; Sabaghian and Balochian, 2018; Tabasi and Balochian, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…In basic sciences, synchronization indicates that various processes join each other at a specific point or perform similarly. In the recent decades, many scientists have studied synchronization in different contexts, including motor synchronization (Rinott and Tractinsky, 2022), synchronization in computer science (Sarkar, 2021), synchronization of mechanical systems (Zhang et al, 2021), power system synchronization (Choi and Seo, 2021), and synchronization of chaotic systems (Assali, 2021; Sabaghian and Balochian, 2018; Tabasi and Balochian, 2018).…”
Section: Introductionmentioning
confidence: 99%