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cs.LG2026
A Large-Dimensional Analysis of Least-Squares Federated Learning via Generalized Total Variation Minimization
Ekkehard Schnoor, Malik Tiomoko, Alexander Jung
Federated learning over decentralized networks inherently trades off the suppression of local finite-sample noise through collaboration against the bias that collaboration introduc…
cs.LG2022★ 2 cited
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks
Ekkehard Schnoor, Arash Behboodi, Holger Rauhut
Motivated by the learned iterative soft thresholding algorithm (LISTA), we introduce a general class of neural networks suitable for sparse reconstruction from few linear measureme…