A survey on collaborative learning for intelligent autonomous systems

JCSD Anjos, KJ Matteussi, FC Orlandi… - ACM Computing …, 2023 - dl.acm.org
This survey examines approaches to promote Collaborative Learning in distributed systems
for emergent Intelligent Autonomous Systems (IAS). The study involves a literature review of …

[HTML][HTML] An algorithm to minimize energy consumption and elapsed time for iot workloads in a hybrid architecture

JCS Dos Anjos, JLG Gross, KJ Matteussi, GV González… - Sensors, 2021 - mdpi.com
Advances in communication technologies have made the interaction of small devices, such
as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new …

[HTML][HTML] Deep reinforcement learning based resource allocation strategy in cloud-edge computing system

J Xu, Z Xu, B Shi - Frontiers in Bioengineering and Biotechnology, 2022 - frontiersin.org
The rapid development of mobile device applications put tremendous pressure on edge
nodes with limited computing capabilities, which may cause poor user experience. To solve …

Qoe-guaranteed heterogeneous task offloading with deep reinforcement learning in edge computing

Z Zhou, Y Wu, J Hou - 2022 IEEE 8th International Conference …, 2022 - ieeexplore.ieee.org
In edge-enabled Internet-of-Things (IoT), various IoT applications commonly generate
heterogeneous tasks. Existing heterogeneous task offloading methods are developed to …

TEMS: An Algorithm to Minimize Energy Consumption and Elapsed Time for IoT Workloads in a Hybrid Architecture

JCS dos Anjos, JLG Gross, KJ Matteussi, GV González… - 2021 - preprints.org
Advances in communication technologies have made the interaction of small devices, such
as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new …