Federated learning for 6G: A survey from perspective of integrated sensing, communication and computation

M ZHAO, Y HUANG, X LI - ZTE Communications, 2023 - zte.magtechjournal.com
With the rapid advancements in edge computing and artificial intelligence, federated
learning (FL) has gained momentum as a promising approach to collaborative data …

Quality aware cost efficient reward mechanism in mobile crowdsensing system with uncertainty constraints

S Mondal, A Das - Microsystem Technologies, 2024 - Springer
Mobile Crowdsensing (MCS) has shown the greatest potential that allows smart devices to
collect and share different sensing data. Mobile users (or participants) send the desired …

Novel Machine Learning Techniques for Diabetes Prediction

M Zahedi, S Bhajna, A Das - Doctoral Symposium on Human Centered …, 2023 - Springer
Diabetes Mellitus is a dangerous metabolic disease nowadays, that raises levels of blood
glucose which over time leads to serious damage to body organs. It doesn't have any …

移动群智感知中基于改进文化基因算法的长时多任务分配

张寿军, 江海峰, 肖硕, 王树豪, 商景杰 - 南京大学学报 (自然科学版), 2023 - jns.nju.edu.cn
摘要任务分配一直是移动群智感知的研究热点, 对于任务的完成质量有重要影响,
但目前针对多地点, 长持续时间的任务分配研究较少. 面向长时多任务分配问题 …

Iot-Enabled Forest Fire Occurrence Prediction and Forecasting Framework Using Mcdm-Based Topsis Method

R Karim, D De, A Das - Available at SSRN 4516771 - papers.ssrn.com
Forest fires disrupt the delicate ecological balance, contribute to global warming, and
diminish the oxygen levels in the atmosphere. Swift identification of forest fires and prompt …