Keyphrases
Convergence Rate
56%
Distributed Optimization
53%
Distributed Algorithms
39%
Gradient Method
37%
Constraint Set
25%
Subgradient
24%
Gradient Projection
24%
Optimization Problem
22%
Time-varying Graphs
22%
Stochastic Approximation
19%
Networked Agents
19%
Time-varying Networks
18%
Minimization Problem
17%
Constant Step Size
17%
Cost Function
17%
Strongly Convex
17%
Error Bound
16%
Subgradient Method
16%
Convex Function
16%
Nash Equilibrium
15%
Geometric Convergence
14%
Diminishing Stepsize
14%
Convex Optimization Problem
14%
Aggregative Games
13%
Approximation Scheme
13%
Convex Optimization
12%
Random Projection
12%
Stochastic Gradient Algorithm
12%
Social Networks
11%
Almost Surely
11%
Regularization Method
11%
Sensor Networks
11%
Decentralized Optimization
10%
Discrete-time
10%
Stochastic Error
10%
Stochastic Gradient
10%
Convergence Results
10%
Convergence Property
10%
Decision Variables
10%
Weighted Averaging
10%
Monotone
9%
Convergence of the Method
9%
Multi-agent Networks
9%
Convergence Analysis
9%
Multi-agent Optimization
9%
Averaged Dynamics
9%
Stochastic quasi-Newton Methods
9%
Linearization Techniques
9%
Nash Equilibrium Seeking
9%
Opinion Dynamics
9%
Mathematics
Stochastics
100%
Convergence Rate
52%
Objective Function
52%
Subgradient
44%
Cost Function
28%
Regularization
21%
Minimization Problem
21%
Sufficient Condition
21%
Step Size
20%
Convex Function
20%
Nash Equilibrium
18%
Minimizes
18%
Error Bound
16%
Matrix (Mathematics)
14%
Asymptotics
14%
Convex Problem
14%
Probability Theory
13%
Discrete Time
13%
Ergodicity
12%
Approximates
12%
Linear Convergence
12%
Continuous Time
11%
Variational Inequality Problem
11%
Limiting Behavior
10%
Convergence Result
10%
Decision Variable
10%
Projection Method
10%
Stochastic Matrix
10%
Convergence Property
9%
Linearization Method
9%
Quasi-Newton Method
9%
Upper Bound
9%
Variational Inequality
8%
Almost Sure Convergence
8%
Bayesian
8%
Lagrangian
8%
Least Square
8%
Function Value
7%
Convex Set
7%
Initial Datum
7%
Necessary and Sufficient Condition
7%
Constrained Optimization Problem
7%
Weighted Average
7%
Closed Convex Set
7%
Local Information
6%
Comparison Function
6%
Utility Maximization
6%
Communicates
6%
Component Function
6%
Optimality
6%
Computer Science
Distributed Optimization
50%
Objective Function
48%
Convergence Rate
47%
Optimization Problem
46%
Distributed Algorithm
33%
Directed Graphs
31%
Gradient Method
26%
Nash Equilibrium
24%
multi agent
22%
Convex Optimization
20%
Convex Function
17%
Constraint Set
17%
Primal-Dual
16%
Communication Network
16%
Stochastic Optimization
14%
Algorithm Converges
12%
Distributed Learning
11%
Optimization Algorithm
11%
Social Network
10%
Decision Variable
10%
Constrained Optimization
10%
Random Projection
9%
Stochastic Approximation
9%
Malicious Agent
9%
Multiple Agents
8%
Sensor Networks
8%
Differential Privacy
8%
Learning System
8%
Distributed Optimization (Algorithms)
8%
Multi Agent Systems
8%
Machine Learning
8%
multi-agent
7%
Local Information
7%
Learning Problem
7%
Learning Algorithm
7%
Component Function
7%
Iterative Algorithm
7%
Directed Network
7%
Network Topology
7%
Numerical Simulation
7%
Weighted Average
7%
Convergence Property
7%
Initial Value
6%
Distributed Computation
6%
Sufficient Condition
6%
Mathematical Convergence
6%
Consensus Algorithm
5%
Connected Network
5%
Stability Analysis
5%
Bayesian Learning
5%
