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Towards Active Participant-Centric Vertical Federated Learning: Some Representations May Be All You Need

Autor: Irureta, Jon, Imaz, Jon, Lojo, Aizea, González, Marco, Perona, Iñigo

Vertical Federated Learning (VFL) enables collaborative model training across different participants with distinct features and common samples, while preserving data privacy. Existing VFL methodologies often struggle with realistic data partitions, t

Externí odkaz: http://arxiv.org/abs/2410.17648

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Computationally efficient deformable 3D object tracking with a monocular RGB camera

Autor: Goenetxea Imaz, Jon

Publikováno v: Addi. Archivo Digital para la Docencia y la Investigación
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Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco

182 p. Monocular RGB cameras are present in most scopes and devices, including embedded environments like robots, cars and home automation. Most of these environments have in common a significant presence of human operators with whom the system has t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::28e8ee3e7ca33bb0dcfbe59daefd48a8
http://hdl.handle.net/10810/50468

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