Structure Learning of Sparse GGMs Over Multiple Access Networks. - Mostafa Tavassolipour; Armin Karamzade; Reza Mirzaeifard; Seyed Abolfazl Motahari; Mohammad Taghi Manzuri Shalmani (IEEE Trans. Commun., 2020)

Robust Phase Retrieval with Non-Convex Penalties. - Reza Mirzaeifard; Naveen K. D. Venkategowda; Stefan Werner 001 (IEEECONF, 2022)

Dynamic Graph Topology Learning with Non-Convex Penalties. - Reza Mirzaeifard; Vinay Chakravarthi Gogineni; Naveen K. D. Venkategowda; Stefan Werner 001 (EUSIPCO, 2022)

ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. - Reza Mirzaeifard; Naveen K. D. Venkategowda; Vinay Chakravarthi Gogineni; Stefan Werner 001 (EUSIPCO, 2022)

Moreau Envelope ADMM for Decentralized Weakly Convex Optimization. - Reza Mirzaeifard; Naveen K. D. Venkategowda; Alexander Jung; Stefan Werner 001 (APSIPA ASC, 2023)

Robust Networked Federated Learning for Localization. - Reza Mirzaeifard; Naveen K. D. Venkategowda; Stefan Werner 001 (APSIPA ASC, 2023)

Distributed Quantile Regression with Non-Convex Sparse Penalties. - Reza Mirzaeifard; Vinay Chakravarthi Gogineni; Naveen K. D. Venkategowda; Stefan Werner 001 (SSP, 2023)

Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. - Reza Mirzaeifard; Naveen K. D. Venkategowda; Vinay Chakravarthi Gogineni; Stefan Werner 001 (CoRR, 2023)

Federated Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties. - Reza Mirzaeifard; Stefan Werner 001 (ICASSP, 2025)

Decentralized Smoothing ADMM for Quantile Regression With Non-Convex Sparse Penalties. - Reza Mirzaeifard; Diyako Ghaderyan; Stefan Werner 001 (IEEE Signal Process. Lett., 2025)

Federated Smoothing Proximal Gradient for Quantile Regression With Non-Convex Penalties. - Reza Mirzaeifard; Diyako Ghaderyan; Stefan Werner 001 (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Smoothing ADMM for Non-convex and Non-smooth Hierarchical Federated Learning. - Reza Mirzaeifard; Stefan Werner 001 (CoRR, 2025)

Federated Smoothing ADMM for Localization. - Reza Mirzaeifard; Ashkan Moradi; Masahiro Yukawa; Stefan Werner 001 (CoRR, 2025)