Gesualdo Scutari
13 papers · 2019–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (16)
π¬
Deep Specialist
(10)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(57)
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory Β· Machine Learning
(12)
Mathematics & Optimization
(10)
Optimization
(10)
Core Methods
(4)
Artificial Intelligence
(1)
Deep Learning
(1)
Learning Paradigms Β· Machine Learning
(1)
Learning Paradigms Β· Artificial Intelligence
(1)
Learning Types
(1)
Optimization & Theory Β· Deep Learning
(1)
Keywords
distributed optimization
(7)
communication complexity
(5)
decentralized optimization
(4)
linear convergence
(3)
gradient tracking
(3)
distributed sparse regression
(2)
proximal gradient
(2)
sparse linear regression
(2)
network optimization
(2)
gradient descent
(1)
sparse regression
(1)
high-dimensional estimation
(1)
composite optimization
(1)
variance reduction
(1)
non-convex optimization
(1)
empirical risk minimization
(1)
low-rank matrix
(1)
high-dimensional statistics
(1)
accelerated optimization
(1)
primal-dual algorithm
(1)
Papers
DCatalyst: A Unified Accelerated Framework for Decentralized Optimization
JMLR 2026
Decentralized Sparse Linear Regression via Gradient-Tracking
JMLR 2025
Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization
NeurIPS 2024
Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence
NeurIPS 2023
Distributed Sparse Regression via Penalization
JMLR 2023
Acceleration in Distributed Optimization under Similarity
AISTATS 2022
Acceleration in Distributed Sparse Regression
NeurIPS 2022
DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery
NeurIPS 2022
Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity
NeurIPS 2022
Distributed Saddle-Point Problems Under Data Similarity
NeurIPS 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