Distributed Optimization with Nesterov Momentum and Finite-Time Quantized Consensus
The QANM algorithm combines Nesterov momentum with a finite-time quantized consensus protocol to solve distributed optimization problems efficiently under limited communication bandwidth. This combination addresses issues like objective function curvature differences and bandwidth constraints, resulting in linear convergence to a neighborhood of the optimal solution.