Multi-view ensemble federated learning for efficient prediction of consumer electronics applications in fog networks
R Patole, N Singh, M Adhikari… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Federated Learning (FL) collaboratively trains a model while preserving privacy and
providing intelligence. This makes it ideal for Consumer Electronics (CE) applications …
providing intelligence. This makes it ideal for Consumer Electronics (CE) applications …
Federated Computing--Survey on Building Blocks, Extensions and Systems
R Schwermer, R Mayer, HA Jacobsen - arXiv preprint arXiv:2404.02779, 2024 - arxiv.org
In response to the increasing volume and sensitivity of data, traditional centralized
computing models face challenges, such as data security breaches and regulatory hurdles …
computing models face challenges, such as data security breaches and regulatory hurdles …
Advancing Security and Efficiency in Federated Learning Service Aggregation for Wireless Networks
Z Abou El Houda, D Nabousli… - 2023 IEEE 34th Annual …, 2023 - ieeexplore.ieee.org
Federated Learning (FL) is a distributed machine learning technique where multiple devices
can collaboratively train a model without sharing their data. As a result, FL ensures distinct …
can collaboratively train a model without sharing their data. As a result, FL ensures distinct …
A Routing Optimization Policy Using Graph Convolution Deep Reinforcement Learning
Y Guo, Q Wu, H She - 2023 IEEE/CIC International Conference …, 2023 - ieeexplore.ieee.org
The diversification of network traffic has brought about more serious quality of service (QoS)
issues. Existing QoS optimization methods based on reinforcement learning and neural …
issues. Existing QoS optimization methods based on reinforcement learning and neural …
Maritime Decentralized Graph Federated Learning Algorithm with Error Compensation
S Zhang, T Yang, X Liu, P Zhu… - 2023 9th International …, 2023 - ieeexplore.ieee.org
Based on the characteristics of Graph Neural Network (GNN) processing graph data,
through the calculation and prediction of the relationship between the change of marine …
through the calculation and prediction of the relationship between the change of marine …
[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 …
해결하기 위하여 심층강화학습 기술을 적용한 다양한 연구들이 이루어지고 있다. 심층 …