Na Yan

Orcid: 0000-0003-1388-8566

Affiliations:
  • King's College London, London, UK


According to our database1, Na Yan authored at least 7 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Secure and Private Over-the-Air Federated Learning: Biased and Unbiased Aggregation Design.
IEEE Trans. Wirel. Commun., July, 2025

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences.
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CoRR, March, 2025

2024
Device Scheduling for Secure Aggregation in Wireless Federated Learning.
IEEE Internet Things J., September, 2024

Over-the-Air Federated Averaging With Limited Power and Privacy Budgets.
IEEE Trans. Commun., April, 2024

2023
Device Scheduling for Over-the-Air Federated Learning with Differential Privacy.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Performance Analysis for Channel-Weighted Federated Learning in OMA Wireless Networks.
IEEE Signal Process. Lett., 2022

Private Federated Learning With Misaligned Power Allocation via Over-the-Air Computation.
IEEE Commun. Lett., 2022


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