DN-ADMM: Distributed Newton ADMM for Multi-agent Optimization

Keyphrases

• Alternating Direction multiplier Method 100%
• Multi-agent Optimization 100%
• Off-diagonal 33%
• State-of-the-art Techniques 33%
• Numerical Experiments 33%
• Smooth Function 33%
• Hessian Matrix 33%
• Truncation 33%
• Hessian 33%
• Taylor Expansion 33%
• Fully Distributed 33%
• Convex Function 33%
• Computable 33%
• Regularizer 33%
• Newton Iteration 33%
• Second-order Methods 33%
• Distributed Communication 33%
• Distributed Implementation 33%
• Multi-agent Networks 33%
• Strongly Convex 33%
• Primal-dual 33%
• Lipschitz Continuous Gradient 33%
• Global Linear Convergence 33%
• Distributed Update 33%
• Communication Round 33%
• Approximate Newton 33%

Mathematics

• Alternating Direction Method of Multipliers 100%
• Diagonal 66%
• Numerical Experiment 33%
• Approximates 33%
• Taylor Expansion 33%
• Truncation 33%
• Smooth Function 33%
• Objective Function 33%
• Hessian Matrix 33%
• Newton Iteration 33%
• Linear Convergence 33%

Computer Science

• Alternating Direction Method of Multipliers 100%
• multi agent 100%
• Objective Function 33%
• Primal-Dual 33%
• Hessian Matrix 33%
• Taylor Expansion 33%
• Newton Iteration 33%