Gesualdo Scutari
12 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
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Conferences
NIPS (6)
JMLR (3)
AISTATS (2)
ICML (1)
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Keywords
distributed optimization
(7)
communication complexity
(4)
linear convergence
(3)
gradient tracking
(3)
decentralized optimization
(3)
sparse linear regression
(2)
proximal gradient
(2)
network optimization
(2)
distributed sparse regression
(2)
variance reduction
(1)
gradient descent
(1)
sparse regression
(1)
nonconvex optimization
(1)
high-dimensional regression
(1)
high-dimensional estimation
(1)
empirical risk minimization
(1)
accelerated optimization
(1)
low-rank matrix
(1)
restricted isometry property
(1)
primal-dual algorithm
(1)
Papers
Decentralized Sparse Linear Regression via Gradient-Tracking
JMLR 2025
Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization
NIPS 2024
Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence
NIPS 2023
Distributed Sparse Regression via Penalization
JMLR 2023
Acceleration in Distributed Optimization under Similarity
AISTATS 2022
Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity
NIPS 2022
Acceleration in Distributed Sparse Regression
NIPS 2022
DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery
NIPS 2022
Distributed Saddle-Point Problems Under Data Similarity
NIPS 2021
Newton Method over Networks is Fast up to the Statistical Precision
ICML 2021
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks
AISTATS 2020
Decentralized Dictionary Learning Over Time-Varying Digraphs
JMLR 2019