Titlebook: Wireless Algorithms, Systems, and Applications; 16th International C Zhe Liu,Fan Wu,Sajal K. Das Conference proceedings 2021 Springer Natur

Endearing

A Verifiable Federated Learning Scheme Based on Secure Multi-party Computationectly collecting user data. However, the risk of inferring data considered in federated learning. Furthermore, the inference to the learning outcome considered in a federated learning environment must satisfy that data cannot be inferred from any outcome except the owner of the data. In this paper,

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TX-RSA: A High Performance RSA Implementation Scheme on NVIDIA Tegra X2 such NVIDIA Tegra K1/X1/X2, which are widely used in embedded environments such as mobile phones, game console and vehicle-mounted systems. Such performance advantages give embedded GPUs the possibility of accelerating cryptography that also requires high-density computing. In this paper, we implem

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Scintillations

A Verifiable Federated Learning Scheme Based on Secure Multi-party Computationg the learning process as well as inference of the output. Meanwhile, the scheme protects the user’s local data during the learning process to ensure the correctness of the results after users’ midway exits through the process.

DOLT

0302-9743 tions: Scheduling & Optimization II; Security; Data Center Networks and Cloud Computing; Privacy-Aware Computing; Internet of Vehicles; Visual Computing for IoT; Mobile Ad-Hoc Networks..978-3-030-86129-2978-3-030-86130-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

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FIUD: A Framework to Identify Users of Devicesr identification. We evaluated our methodology in laboratory and in the real-world. Compared with the mature results in the industry, the experiment shows that our methodology has achieved higher performances to discover the true users of IPs. At the same time, we did the network measurement in Beijing based on our methodology.

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