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01/21/2022
High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees
We study sparse linear regression over a network of agents, modeled as a...
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11/12/2021
Distributed Sparse Regression via Penalization
We study sparse linear regression over a network of agents, modeled as a...
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07/23/2021
Finite-Bit Quantization For Distributed Algorithms With Linear Convergence
This paper studies distributed algorithms for (strongly convex) composit...
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02/12/2021
Newton Method over Networks is Fast up to the Statistical Precision
We propose a distributed cubic regularization of the Newton method for s...
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02/27/2020
Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case
This paper establishes a kernel-based framework for reconstructing data ...
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02/25/2020
Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis
We study distributed composite optimization over networks: agents minimi...
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02/25/2020
Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis
We study distributed composite optimization over networks: agents minimi...
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12/25/2019
Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures
A set of about 80 researchers, practitioners, and federal agency program...
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10/23/2019
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks
This paper proposes a novel family of primal-dual-based distributed algo...
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05/07/2019
Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking
We study distributed, strongly convex and nonconvex, multiagent optimiza...
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01/03/2019
Finite rate distributed weight-balancing and average consensus over digraphs
This paper proposes and analyzes the first distributed algorithm that so...
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12/27/2018
Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery
This paper puts forth a novel bi-linear modeling framework for data reco...
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09/23/2018
Second-order Guarantees of Distributed Gradient Algorithms
We consider distributed smooth nonconvex unconstrained optimization over...
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09/17/2018
Limited Rate Distributed Weight-Balancing and Average Consensus Over Digraphs
Distributed quantized weight-balancing and average consensus over fixed ...
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09/04/2018
Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs
This paper considers nonconvex distributed constrained optimization over...
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08/22/2018
Distributed Big-Data Optimization via Block-wise Gradient Tracking
We study distributed big-data nonconvex optimization in multi-agent netw...
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08/22/2018
Distributed Big-Data Optimization via Block-Iterative Gradient Tracking
We study distributed big-data nonconvex optimization in multi-agent netw...
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08/17/2018
Decentralized Dictionary Learning Over Time-Varying Digraphs
This paper studies Dictionary Learning problems wherein the learning tas...
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05/27/2018
Distributed Big-Data Optimization via Block Communications
We study distributed multi-agent large-scale optimization problems, wher...
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05/17/2018
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization
Recent years have witnessed a surge of interest in parallel and distribu...
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05/02/2018
Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging
In this paper, we study distributed big-data nonconvex optimization in m...
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03/28/2018