PANDA: A Dual Linearly Converging Method for Distributed Optimization Over Time-Varying Undirected Graphs. - Marie Maros; Joakim Jaldén (CDC, 2018)

Dynamic Power Allocation for Smart Grids Via ADMM. - Marie Maros; Joakim Jaldén (SPAWC, 2018)

ADMM for Distributed Dynamic Beamforming. - Marie Maros; Joakim Jaldén (IEEE Trans. Signal Inf. Process. over Networks, 2018)

Eco-panda: A Computationally Economic, Geometrically Converging Dual Optimization Method on Time-varying Undirected Graphs. - Marie Maros; Joakim Jaldén (ICASSP, 2019)

On the Q-Linear Convergence of Distributed Generalized ADMM Under Non-Strongly Convex Function Components. - Marie Maros; Joakim Jaldén (IEEE Trans. Signal Inf. Process. over Networks, 2019)

A Geometrically Converging Dual Method for Distributed Optimization Over Time-Varying Graphs. - Marie Maros; Joakim Jaldén (IEEE Trans. Autom. Control., 2021)

DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery. - Marie Maros; Gesualdo Scutari (NeurIPS, 2022)

Acceleration in Distributed Sparse Regression. - Marie Maros; Gesualdo Scutari (NeurIPS, 2022)

High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees. - Ying Sun 003; Marie Maros; Gesualdo Scutari; Guang Cheng (CoRR, 2022)

A Unified View of Decentralized Algorithms for Sparse Linear Regression. - Marie Maros; Gesualdo Scutari (CAMSAP, 2023)

Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence. - Marie Maros; Gesualdo Scutari (NeurIPS, 2023)