Titlebook: Data Privacy Management, Cryptocurrencies and Blockchain Technology; ESORICS 2022 Interna Joaquin Garcia-Alfaro,Guillermo Navarro-Arribas,N

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https://doi.org/10.1007/978-3-319-65373-0 scratch to adapt them to the special needs of the resource-constrained devices of the IoT. On the other hand, integrating existing blockchain systems, like Bitcoin or Ethereum, would open the door to extend and use a plethora of already successful applications running on these systems. In this pape

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Community Interpreting Trainingrk, we show that the convergence delay in the network is larger than what would be expected from the protocol’s specification and that payment attempt failures caused by the delay are more frequent, the larger the delay is. To this end, we measure the convergence delay incurred in the network and an

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https://doi.org/10.1007/978-3-031-25734-6cryptography and cryptanalysis; anonymity and untracability; computer security; network protocols; netwo

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Enhancing Privacy in?Federated Learning with?Local Differential Privacy for?Email Classificationm and ham email classification model with local differential privacy, we find that setting a local threshold of F1-Score on the clients’ level can reduce the consumption of privacy budget over several rounds, and decrease the training time. Moreover, we find that for the central model a significantl

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