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Found 5 papers, 1 papers with code
PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow
This paper proposes a novel paradigm for facial privacy protection that unifies multiple characteristics including anonymity, diversity, reversibility and security within a single lightweight framework.
Lane Change Classification and Prediction with Action Recognition Networks
Previous works often adopt physical variables such as driving speed, acceleration and so forth for lane change classification.
Design and Analysis of SWIPT with Safety Constraints
In this paper, we provide a complete framework for the design and analysis of far-field SWIPT under safety constraints.
Wyner-Ziv Gradient Compression for Federated Learning
Due to limited communication resources at the client and a massive number of model parameters, large-scale distributed learning tasks suffer from communication bottleneck.
Improved Communication Efficiency for Distributed Mean Estimation with Side Information
We propose a practical and efficient estimator based on an r-bit Wynzer-Ziv estimator proposed by Mayekar et al., which requires no probabilistic assumption on the data.
Information Theory Information Theory
