Reza Mirzaeifard

Diyako Ghaderyan

CoRR, 2024

Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties.

[BibT_eX]

[DOI]

Diyako Ghaderyan

CoRR, 2024

2023

Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties.

[BibT_eX]

[DOI]

CoRR, 2023

Distributed Quantile Regression with Non-Convex Sparse Penalties.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Robust Networked Federated Learning for Localization.

[BibT_eX]

[DOI]

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

Moreau Envelope ADMM for Decentralized Weakly Convex Optimization.

[BibT_eX]

[DOI]

Alexander Jung

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022

ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

Dynamic Graph Topology Learning with Non-Convex Penalties.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

Robust Phase Retrieval with Non-Convex Penalties.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2020

Structure Learning of Sparse GGMs Over Multiple Access Networks.

[BibT_eX]

[DOI]

Mostafa Tavassolipour

Armin Karamzade