QANM combines Nesterov-accelerated gradient descent with distributed finite-time quantized consensus to achieve linear convergence to a neighborhood of the optimum in unconstrained distributed optimization over directed graphs under strong convexity and smoothness.
Distributed optimization with finite bit adaptive quantization for efficient communication and precision enhancement,
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Nesterov Accelerated Distributed Optimization with Efficient Quantized Communication
QANM combines Nesterov-accelerated gradient descent with distributed finite-time quantized consensus to achieve linear convergence to a neighborhood of the optimum in unconstrained distributed optimization over directed graphs under strong convexity and smoothness.