Federated deep reinforcement learning for task offloading in digital twin edge networks

Y Dai, J Zhao, J Zhang, Y Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Digital twin edge networks provide a new paradigm that combines mobile edge computing
(MEC) and digital twins to improve network performance and reduce communication cost by …

Over-the-air aggregation-based federated learning for technology recognition in multi-RAT networks

M Girmay, M Seif, V Maglogiannis… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
With the continuous evolution of wireless communication and the explosive growth in data
traffic, decentralized spectrum sensing has become essential for the optimal utilization of …

Security and Privacy of 6G Federated Learning-enabled Dynamic Spectrum Sharing

V Vo, T Dayaratne, B Haydon, X Yuan, S Lai… - arXiv preprint arXiv …, 2024 - arxiv.org
Spectrum sharing is increasingly vital in 6G wireless communication, facilitating dynamic
access to unused spectrum holes. Recently, there has been a significant shift towards …

Dynamic Channel Allocation Method Using Analytic Hierarchy Process in Wireless LAN

M Endo, S Sasaki - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
With 6 GHz band being focused as a new frequency spectrum for Wireless LAN (WLAN),
there is a need for dynamic channel allocation methods that can accommodate the …

Multi-UAV Distributed Expulsion Based on Deep Reinforcement Learning

X Zhang, H Qiu, Y Wang, L Sun… - 2024 43rd Chinese …, 2024 - ieeexplore.ieee.org
Aiming at the problem of collaborative expulsion in multiple unmanned aerial vehicles
(UAVs), a method for maneuver decision-making based on deep reinforcement learning is …

Leveraging Federated Learning for Weather Classification in the Era of Smart Cities

RS Gargees - 2024 IEEE 3rd International Conference on …, 2024 - ieeexplore.ieee.org
The advent of smart cities has led to a significant increase in the collection and utilization of
diverse data streams, including imagery datasets capturing various aspects of urban …

[PDF][PDF] 산업용사물인터넷을위한프라이버시보존연합학습기반심층강화학습모델

한채림, 이선진, 이일구 - 정보보호학회논문지, 2023 - koreascience.kr
요 약최근 사물 인터넷을 활용한 산업 현장에서 수집되는 빅데이터를 활용해 복잡한 문제들을
해결하기 위하여 심층강화학습 기술을 적용한 다양한 연구들이 이루어지고 있다. 심층 …