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  • title: Federated Learning for Appearance-based Gaze Estimation in the Wild
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            Federated Learning for Appearance-based Gaze Estimation in the Wild
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            Federated Learning for Appearance-based Gaze Estimation in the Wild

            Dec 2, 2022

            Speakers

            ME

            Mayar Elfares

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            ZH

            Zhiming Hu

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            PR

            Pascal Reisert

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            About

            Gaze estimation methods have significantly matured in recent years but the large number of eye images required to train deep learning models poses significant privacy risks. In addition, the heterogeneous data distribution across different users can significantly hinder the training process. In this work, we propose the first federated learning approach for gaze estimation to preserve the privacy of gaze data.We further employ pseudo-gradients optimisation to adapt our federated learning approac…

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            NeurIPS 2022

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