A Privacy-Preserving Federated Learning System for Android Malware Detection Based on Edge Computing
AsiaJCIS, pp. 128-136, 2020.
EI
Abstract:
This paper presents a privacy-preserving federated learning (PPFL) system for the detection of android malware. The proposed PPFL allows mobile devices to collaborate together for training a classifier without exposing the sensitive information, such as the application programming interface (API) calls and permission configuration, and th...More
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