The paper introduces CompJF and CompRandJF, federated Tucker-based reconstruction algorithms that aggregate clients via joint factorization and randomized sketching, claiming improved SSIM and communication efficiency on synthetic multimodal tomography.
Optimization-based approach for joint x-ray fluorescence and transmission tomographic inversion
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Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction
The paper introduces CompJF and CompRandJF, federated Tucker-based reconstruction algorithms that aggregate clients via joint factorization and randomized sketching, claiming improved SSIM and communication efficiency on synthetic multimodal tomography.