XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...
A Consensus-Based Particle Swarm Optimization Algorithm for Distributed Multi-Objective Optimization
Abstract: Distributed optimization has been extensively studied in the past decades due to its wide applications. Most of them aim to optimizing single-objective function. However, in real-world ...
Every morning, millions of Americans engage in a quiet, collective ritual. We wake up, often pull a smartphone from our ...
Abstract: The exponential growth of the Internet of Things (IoT) has created an essential demand for Distributed Machine Learning (DML) systems. In this context, Federated Learning (FL) allows IoT ...
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