Mathematics
Stochastics
100%
Objective Function
57%
Convergence Rate
48%
Subgradient
42%
Cost Function
29%
Regularization
26%
Minimization Problem
25%
Sufficient Condition
25%
Convex Function
19%
Step Size
19%
Minimizes
18%
Error Bound
17%
Ergodicity
15%
Convex Problem
15%
Asymptotics
15%
Stochastic Matrix
14%
Limiting Behavior
14%
Linearization Method
14%
Quasi-Newton Method
14%
Discrete Time
14%
Matrix (Mathematics)
12%
Probability Theory
12%
Approximates
12%
Convergence Result
12%
Decision Variable
12%
Continuous Time
11%
Nash Equilibrium
11%
Almost Sure Convergence
11%
Convergence Property
10%
Projection Method
10%
Utility Maximization
9%
Upper Bound
9%
Linear Convergence
9%
Comparison Function
9%
Least Square
8%
Constrained Optimization Problem
8%
Bayesian
8%
Initial Datum
8%
Lagrangian
8%
Dual Problem
8%
Necessary and Sufficient Condition
7%
Function Value
7%
Predictive Model
7%
Variance
6%
Variational Inequality Problem
6%
Optimality
6%
Local Information
6%
Edge
6%
Connectivity Graph
6%
Update Rule
6%
Computer Science
Convergence Rate
51%
Distributed Optimization
50%
Objective Function
48%
Optimization Problem
42%
Distributed Algorithm
37%
Directed Graphs
32%
multi agent
23%
Gradient Method
23%
Algorithm Converges
17%
Convex Function
16%
Nash Equilibrium
16%
Constraint Set
16%
Convex Optimization
15%
Optimization Algorithm
15%
Stochastic Optimization
15%
Decision Variable
14%
Primal-Dual
14%
Distributed Learning
13%
Social Network
13%
Communication Network
12%
Multiple Agents
10%
Learning Problem
9%
Iterative Algorithm
9%
Initial Value
9%
multi-agent
8%
Bayesian Learning
8%
Quantization (Signal Processing)
8%
Learning Algorithm
8%
Distributed Optimization (Algorithms)
8%
Random Projection
8%
Stability Analysis
8%
Stochastic Approximation
8%
digraph
8%
Weighted Average
8%
Network Topology
7%
Sufficient Condition
7%
Directed Network
7%
Distributed Computation
7%
Mathematical Convergence
7%
Constrained Optimization
7%
Multi Agent Systems
7%
Connected Network
7%
Attackers
7%
Differential Privacy
7%
Computer Network
7%
Sensor Networks
7%
Contact Network
7%
Equilibrium Point
6%
Action-Set
6%
Quantization Level
6%
Keyphrases
Convergence Rate
24%
Distributed Optimization
22%
Gradient Projection
19%
Minimization Problem
15%
Distributed Algorithms
14%
Subgradient
13%
Time-varying Networks
12%
Subgradient Method
12%
Error Bound
12%
Aggregative Games
11%
Constant Step Size
11%
Regularization Method
11%
Convex Function
10%
Constraint Set
10%
Component Functions
9%
Convergence of the Method
9%
Time-varying Graphs
8%
Cost Function
8%
Networked Agents
8%
Regularizing Operator
8%
Linearization Techniques
8%
Distributed Subgradient Method
8%
Bi-virus Models
8%
Optimization Problem
8%
Gradient Method
7%
Stochastic Gradient
7%
Social Networks
7%
Non-Bayesian Learning
7%
Diminishing Stepsize
7%
Virus
7%
Strongly Convex
6%
Distributed Averaging Algorithm
6%
Random Projection
6%
Rate Analysis
6%
Optimization Accuracy
6%
Almost Surely
6%
Continuous-time
6%
Decision Variables
6%
Multi-agent Networks
6%
Stochastic Error
6%
Distributed Consensus
6%
Malicious Agents
6%
Decentralized Optimization
6%
Stochastic Gradient Algorithm
6%
Convergence Results
6%
Nash Equilibrium
5%
Directed Graph
5%
Primal Solution
5%
Multi-agent Systems
5%
Asymptotic Concentration
5%
