Constrained Optimization With Low-Bit Gradients: A Dynamical Systems Perspective

Computer Science

• Constrained Optimization 100%
• Dynamical System 100%
• Theoretical Basis 50%
• Continuous Time 50%
• Signal Processing 50%
• Unified Framework 50%
• Communication Overhead 50%
• Convergence Rate 50%
• Compression Scheme 50%
• Gradient Descent 50%
• Compressed Sensing 50%
• Signal Processing Application 50%
• Mathematical Convergence 50%
• Distributed Algorithm 50%

Keyphrases

• Dynamical Systems 100%
• Systems Perspective 100%
• Constrained Optimization 100%
• Low-bit 100%
• Gradient Compression 33%
• Negligible Effects 16%
• Optimization Methods 16%
• Convergence Rate 16%
• Numerical Experiments 16%
• Distributed Algorithms 16%
• Convergence Analysis 16%
• Signal Processing 16%
• Unified Framework 16%
• Continuous-time 16%
• Nonconvex Optimization 16%
• Gradient Descent 16%
• Noise Signal 16%
• Communication Overhead 16%
• Compression System 16%
• Compressed Sensing 16%
• Signal Processing Applications 16%
• Matrix Completion 16%
• Signal Recovery 16%
• Signal Matrix 16%
• Nonsmooth Dynamical Systems 16%