Dynamic Privacy-Aware Collaborative Schemes for Average Computation: A Multi-Time Reporting Case
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2021.3096121
Abstract: Collaborative computing is efficient to conduct large-scale computation tasks, especially with the surge in data volume. However, when the data contains sensitive information, privacy has to be attached significant attention during the execution of computation… read more here.
Keywords: dynamic privacy; aware collaborative; average computation; privacy aware ... See more keywords
RCFL: Redundancy-Aware Collaborative Federated Learning in Vehicular Networks
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DOI: 10.1109/tits.2023.3336823
Abstract: In vehicular networks (VNets), vehicular federated learning (VFL) is a new learning paradigm that can protect data privacy of vehicle nodes (VNs) while training models. In VFL, the importance of data (IoD) is a key… read more here.
Keywords: aware collaborative; redundancy; redundancy aware; coalition ... See more keywords
Weather-Aware Collaborative Perception With Uncertainty Reduction
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DOI: 10.1109/tits.2024.3479720
Abstract: Although collaborative 3D perception has successfully improved detection performance by sharing LIDAR information among multiple agents, its impact under adverse weather is under poor investigation. It is non-trivial to reduce the noise effect in the… read more here.
Keywords: aware collaborative; weather aware; perception; collaborative perception ... See more keywords