Gesualdo Scutari
Computer Science · Purdue University West Lafayette
Publications
220
Citations
10,203
Est. group size
—
Recurring co-author estimate
Active years
25
Publishing since 2002
Gesualdo Scutari works on decentralized and distributed optimization, developing algorithms that let networks of computing agents (such as sensors or devices connected in a graph, with no central coordinator) jointly solve large optimization problems efficiently. His work combines theoretical convergence guarantees with applications such as sparse regression, matrix sensing, and signal/image reconstruction. Prospective students would engage with mathematical optimization theory, algorithm design, and analysis of convergence rates for multi-agent and networked systems.
Publication output was relatively steady and high from 2017-2021 (12-18 per year) but has declined markedly since 2022, with only a handful of papers per year most recently.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Enhancing Convergence of Decentralized Gradient Tracking under the KL Property
IEEE Transactions on Automatic Control · 2026
- Adaptive Decentralized Composite Optimization via Three-Operator Splitting
Open MIND · 2026
- Adaptive Decentralized Composite Optimization via Three-Operator Splitting
arXiv (Cornell University) · 2026
- DCatalyst: A Unified Accelerated Framework for Decentralized Optimization
arXiv (Cornell University) · 2025
- A Parameter-free Decentralized Algorithm for Composite Convex Optimization
arXiv (Cornell University) · 2025
- A New Decomposition Paradigm for Graph-structured Nonlinear Programs via Message Passing
arXiv (Cornell University) · 2025
- A New Decomposition Paradigm for Graph-structured Nonlinear Programs via Message Passing
arXiv (Cornell University) · 2025
- A Parameter-free Decentralized Algorithm for Composite Convex Optimization
2025
- Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization
2024
- Decentralized Asynchronous Nonconvex Stochastic Optimization on Directed Graphs
IEEE Transactions on Control of Network Systems · 2023
- Distributed (ATC) Gradient Descent for High Dimension Sparse Regression
IEEE Transactions on Information Theory · 2023
- A Unified View of Decentralized Algorithms for Sparse Linear Regression
2023
- Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence
2023
- Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation
SIAM Journal on Optimization · 2022
- Finite-Bit Quantization for Distributed Algorithms With Linear Convergence
IEEE Transactions on Information Theory · 2022
- arXiv (Cornell University)×42
- IEEE Transactions on Automatic Control×5
- IEEE Transactions on Signal Processing×4
- Mathematical Programming×3
- IEEE Transactions on Signal and Information Processing over Networks×2
- Kananart Kuwaranancharoen
Engineering · Purdue University West Lafayette
- Jia Liu
Computer Science · The Ohio State University
- Ryan K. Williams
Computer Science · Purdue University West Lafayette
- Ayush Rai
Computer Science · Purdue University West Lafayette
- Shaoshuai Mou
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile