Paper-Conference

Designing Robust 6G Networks with Bimodal Distribution for Decentralized Federated Learning
Integrating distributed machine learning with 6G technology is aligned with the United Nations’ Sustainable Development Goals, …
Xu (Eric) Wang, Yuanzhu Chen, Octavia Dobre
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Designing Robust 6G Networks with Bimodal Distribution for Decentralized Federated Learning
Robust Federated Learning for Energy Storage Systems
One of the Sustainable Development Goals of the United Nations is affordable and clean energy. True utilization of renewable energy is …
Xu (Eric) Wang, Yuanqi Liang, Yuanzhu Chen, Octavia Dobre
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Robust Federated Learning for Energy Storage Systems
A Communication-Efficient Protocol for Federated Learning in Energy Storage Systems
We have aspired as a green and intelligent future, where humans, the built environment, and the nature are interconnected as a …
Xu (Eric) Wang, Yuehan Qi
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A Communication-Efficient Protocol for Federated Learning in Energy Storage Systems
Malicious Model Detection for Federated Learning Empowered Energy Storage Systems
Renewable energy plays an essential role in the energy sector and reducing carbon emissions. Energy storage is the key to releasing the …
Xu (Eric) Wang, Yuanzhu Chen, Octavia Dobre
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Malicious Model Detection for Federated Learning Empowered Energy Storage Systems
Federated Learning for Anomaly Detection: A Case of Real-World Energy Storage Deployment
We have aspired as a green and intelligent future, where humans, the built environment, and the nature are interconnected as a …
Xu (Eric) Wang, Yuanzhu Chen, Octavia Dobre
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Federated Learning for Anomaly Detection: A Case of Real-World Energy Storage Deployment
Fast Data-Driven Sensitivity Measurement for Wireless Receivers
Receiver sensitivity is one of the most important performance metrics in communication systems. Industry has been using exhaustive …
Xu (Eric) Wang, Zhi Quan, Yuan Ma, Weisheng Tang, H. Vincent Poor
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Fast Data-Driven Sensitivity Measurement for Wireless Receivers