Abstract: Distributed training is the most common way to scale out and accelerate Deep Neural Network (DNN) training. Distributed DNN training requires synchronization of gradient aggregation among ...
Abstract: Cloud Computing (CC) technology facilitates virtualized computing resources through service providers to users. Balancing loads assumes a critical role in distributing dynamic workloads ...
This repository contains the official Python simulation codebase for the journal paper; The Dynamic Framework For Blockchain Optimization: Adaptive Trilemma Balancing (ATB), Quadrilemma, And ...