
Characterizing Trust and Resilience in Distributed Consensus for Cyberphysical Systems
This work considers the problem of resilient consensus where stochastic ...
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A general framework for decentralized optimization with firstorder methods
Decentralized optimization to minimize a finite sum of functions over a ...
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Accelerated MultiAgent Optimization Method over Stochastic Networks
We propose a distributed method to solve a multiagent optimization prob...
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On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems
We consider the problem of recovering a complex vector x∈C^n from m quad...
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PushPull Gradient Methods for Distributed Optimization in Networks
In this paper, we focus on solving a distributed convex optimization pro...
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GraphTheoretic Analysis of Belief System Dynamics under Logic Constraints
Opinion formation cannot be modeled solely as an ideological deduction f...
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A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks
We study the optimal convergence rates for distributed convex optimizati...
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Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters
We study the problem of decentralized distributed computation of a discr...
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Distributed Stochastic Gradient Tracking Methods
In this paper, we study the problem of distributed multiagent optimizat...
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SUCAG: Stochastic Unbiased Curvatureaided Gradient Method for Distributed Optimization
We propose and analyze a new stochastic gradient method, which we call S...
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A Distributed Stochastic Gradient Tracking Method
In this paper, we study the problem of distributed multiagent optimizat...
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Distributed Computation of Wasserstein Barycenters over Networks
We propose a new classoptimal algorithm for the distributed computation...
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Optimal Algorithms for Distributed Optimization
In this paper, we study the optimal convergence rate for distributed con...
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Curvatureaided Incremental Aggregated Gradient Method
We propose a new algorithm for finite sum optimization which we call the...
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Network Topology and CommunicationComputation Tradeoffs in Decentralized Optimization
In decentralized optimization, nodes cooperate to minimize an overall ob...
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DiscreteTime Polar Opinion Dynamics with Susceptibility
This paper considers a discretetime opinion dynamics model in which eac...
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Improved Convergence Rates for Distributed Resource Allocation
In this paper, we develop a class of decentralized algorithms for solvin...
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Distributed Learning for Cooperative Inference
We study the problem of cooperative inference where a group of agents in...
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A Tutorial on Distributed (NonBayesian) Learning: Problem, Algorithms and Results
We overview some results on distributed learning with focus on a family ...
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Geometrically Convergent Distributed Optimization with Uncoordinated StepSizes
A recent algorithmic family for distributed optimization, DIGing's, have...
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Distributed Learning with Infinitely Many Hypotheses
We consider a distributed learning setup where a network of agents seque...
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Data Clustering and Graph Partitioning via Simulated Mixing
Spectral clustering approaches have led to wellaccepted algorithms for ...
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Angelia Nedić
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Associate Professor, Donald Biggar Willett ScholarDepartment of Industrial and Enterprise Systems Engineering at University of Illinois at UrbanaChampaign and Professor at Arizona State University.