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cs.CV2023
A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution
Alexandros Gkillas, Dimitris Ampeliotis, Kostas Berberidis
In recent literature there are plenty of works that combine handcrafted and learnable regularizers to solve inverse imaging problems. While this hybrid approach has demonstrated pr…
cs.LG2023
Deep Equilibrium Models Meet Federated Learning
Alexandros Gkillas, Dimitris Ampeliotis, Kostas Berberidis
In this study the problem of Federated Learning (FL) is explored under a new perspective by utilizing the Deep Equilibrium (DEQ) models instead of conventional deep learning networ…