Review of quantized kernel-least-mean-square algorithm Consider the kernel trick [1]. The main idea of the method is to use a suitable nonlinear-mapping φ(·). The input signal vector x(b) is transformed into the RKHS by φ(·), and φ(x(b)) (also denoted as φ(b)) is expresse...
We propose a gradient-descent algorithm to solve the distributed resource allocation problem with quantization mechanism due to the communication limitations or in order to reduce the communication cost in the network. With carefully selected parameters, the convergence and correctness of the quantized ...
Low-precision training using “Quantized Neural Network” (QNN) is not a new solution in deep learning to enhance energy efficiency without compromising the model’s accuracy. The parameter gradients are computed at train time using the quantized weights and activations. In the forward pass, bit-...
Bermudez. New Insights on the Transient and Steady-State Behavior of the Quantized LMS Algorithm. IEEE Transactions on Signal Processing, 44(10):2623-2625, October 1996.N.J. Bershad, J.C.M. Bermudez, New insights on the transient and steady-state behavior of the quantized LMS algorithm, ...
It is shown that one cannot simply add a fixed level of quantization power to the steady-state tracking results for the unquantized algorithm. A design example illustrates the use of the theory to select the algorithm step size and the number of bits in the quantizer....
gradient tracking algorithmquantized communicationCommunication efficiency is a major bottleneck in the applications of distributed networks. To address the problem, the problem of quantized distributed optimization has attracted a lot of attention. However, most of the existing quantized distributed ...
The invention discloses a distributed route synchronization method based on a probability quantized broadcast gossip algorithm relating to the distributed route synchronization technology. According to the invention, the problem that every route node cannot realize strict route synchronization through the ...
We first formulate the update equation for quantized DILMS algorithm, and then we use a spatial-temporal energy conservation argument to derive theoretical expressions that evaluate the steady-state performance of individual nodes in the network. We consider mean-square error, excess mean-square error...
Quantized pyramidal beam tracing - a new algorithm for room acoustics and noise immission prognosis. Acta Acustica united with Acustica, 82:517-525, 1996.U. M. Stephenson, "Quantized pyramidal beam tracing - a new algorithm for room acoustics and noise immission prognosis," Acustica/Acta ...
To reduce the computational complexity and memory requirements of the KRqRL algorithm, an online vector quantization (VQ) method is employed to quantize the network size to a codebook size, resulting in the quantized KRqRL (QKRqRL) algorithm. This paper provides a detailed analysis of the ...