Abstract: Cache-based timing side-channel attacks are prevalent and correspond to a security threat for both high-end and embedded processors. In this paper, we propose and implement a fine-grained ...
Abstract: Federated Learning (FL) represents a promising approach to typical privacy concerns associated with centralized Machine Learning (ML) deployments. Despite its well-known advantages, FL is ...
We study how to best make use of the a GPU to implement lock-free concurrent hash tables, and on top of that highly parallel dynamic programming. We show that the right hash table can be remarkably ...
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