2019
DOI: 10.1109/jetcas.2019.2933807
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Byzantine-Tolerant Inference in Distributed Deep Intelligent System: Challenges and Opportunities

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Cited by 7 publications
(3 citation statements)
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“…This can be achieved by carefully analyzing the information coming from each sensor to estimate their reliability and use them accordingly for the inference process. 9 Therefore, the trend to use distributed systems to implement both training and inference makes BFT a key element for future machine learning systems.…”
Section: Software Engineeringmentioning
confidence: 99%
“…This can be achieved by carefully analyzing the information coming from each sensor to estimate their reliability and use them accordingly for the inference process. 9 Therefore, the trend to use distributed systems to implement both training and inference makes BFT a key element for future machine learning systems.…”
Section: Software Engineeringmentioning
confidence: 99%
“…In the last two decades, cooperation in multiagent systems has attracted researchers' attention in a wide area such as system control theory, computer science, distributed intelligent systems, power systems, microgrids, and so on. [1][2][3][4][5][6] Consensus problem is a fundamental problem in studying of multiagent systems. Consensus means that a group of agents or vehicles reach an agreement on a common value by negotiating with neighbors, asymptotically, or in a finite time.…”
Section: Introductionmentioning
confidence: 99%
“…In the last two decades, cooperation in multiagent systems has attracted researchers' attention in a wide area such as system control theory, computer science, distributed intelligent systems, power systems, microgrids, and so on 1‐6 …”
Section: Introductionmentioning
confidence: 99%