Picture for Gesualdo Scutari

Gesualdo Scutari

DCatalyst: A Unified Accelerated Framework for Decentralized Optimization

Add code
Jan 30, 2025
Viaarxiv icon

Enhancing Convergence of Decentralized Gradient Tracking under the KL Property

Add code
Dec 12, 2024
Figure 1 for Enhancing Convergence of Decentralized Gradient Tracking under the KL Property
Figure 2 for Enhancing Convergence of Decentralized Gradient Tracking under the KL Property
Figure 3 for Enhancing Convergence of Decentralized Gradient Tracking under the KL Property
Figure 4 for Enhancing Convergence of Decentralized Gradient Tracking under the KL Property
Viaarxiv icon

Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity

Add code
May 30, 2022
Figure 1 for Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity
Figure 2 for Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity
Figure 3 for Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity
Viaarxiv icon

High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees

Add code
Jan 21, 2022
Figure 1 for High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees
Figure 2 for High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees
Figure 3 for High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees
Figure 4 for High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees
Viaarxiv icon

Distributed Sparse Regression via Penalization

Add code
Nov 12, 2021
Figure 1 for Distributed Sparse Regression via Penalization
Figure 2 for Distributed Sparse Regression via Penalization
Figure 3 for Distributed Sparse Regression via Penalization
Figure 4 for Distributed Sparse Regression via Penalization
Viaarxiv icon

Acceleration in Distributed Optimization Under Similarity

Add code
Oct 24, 2021
Figure 1 for Acceleration in Distributed Optimization Under Similarity
Figure 2 for Acceleration in Distributed Optimization Under Similarity
Figure 3 for Acceleration in Distributed Optimization Under Similarity
Figure 4 for Acceleration in Distributed Optimization Under Similarity
Viaarxiv icon

Finite-Bit Quantization For Distributed Algorithms With Linear Convergence

Add code
Jul 23, 2021
Figure 1 for Finite-Bit Quantization For Distributed Algorithms With Linear Convergence
Figure 2 for Finite-Bit Quantization For Distributed Algorithms With Linear Convergence
Figure 3 for Finite-Bit Quantization For Distributed Algorithms With Linear Convergence
Figure 4 for Finite-Bit Quantization For Distributed Algorithms With Linear Convergence
Viaarxiv icon

Distributed Saddle-Point Problems Under Similarity

Add code
Jul 22, 2021
Figure 1 for Distributed Saddle-Point Problems Under Similarity
Figure 2 for Distributed Saddle-Point Problems Under Similarity
Figure 3 for Distributed Saddle-Point Problems Under Similarity
Figure 4 for Distributed Saddle-Point Problems Under Similarity
Viaarxiv icon

Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case

Add code
Feb 27, 2020
Figure 1 for Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case
Figure 2 for Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case
Figure 3 for Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case
Viaarxiv icon

Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks

Add code
Oct 23, 2019
Figure 1 for Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks
Viaarxiv icon