IEEE

A Multi-Agent Federated DRL Model for Vehicular Task Offloading in WPT-Aided eROAD Environment

Abstract: This paper introduces a novel multi-agent federated deep reinforcement learning (MA-FDRL) framework designed to minimize vehicular task offloading latency in electrified road (eROAD) ...
GitHub

A Multi-task Supervised Compression Model for Split Computing

This is the official repository for our WACV 2025 paper, "A Multi-task Supervised Compression Model for Split Computing". Split computing (/= split learning) is a promising approach to deep learning ...
Frontiers

More active, less aggressive! Understanding how physical activity reduces aggressive behavior among Chinese adolescents: a three-wave mediation model

Background: Adolescent aggression is a pressing global concern, especially in school contexts. Although prior studies suggest an inverse association between physical activity and aggression, ...
IEEE

DMAMP: A Deep-Learning Model for Detecting Antimicrobial Peptides and Their Multi-Activities

Due to the broad-spectrum and high-efficiency antibacterial activity, antimicrobial peptides (AMPs) and their functions have been studied in the field of drug discovery. Using biological experiments ...