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- ArticleNovember 2024
Distributed Active Client Selection With Noisy Clients Using Model Association Scores
Computer Vision – ECCV 2024Pages 75–92https://doi.org/10.1007/978-3-031-73027-6_5AbstractActive client selection (ACS) strategically identifies clients for model updates during each training round of federated learning. In scenarios with limited communication resources, ACS emerges as a superior alternative to random client selection,...
- ArticleNovember 2024
Region-Aware Sequence-to-Sequence Learning for Hyperspectral Denoising
Computer Vision – ECCV 2024Pages 218–235https://doi.org/10.1007/978-3-031-73027-6_13AbstractProper spectral modeling within hyperspectral image (HSI) is critical yet highly challenging for HSI denoising. In contrast to existing methods that struggle between effectiveness and flexibility in modeling long-range spectral dependencies and ...