Journals Published / in Review
- Jiayu Mao, Tongxin Yin, Aylin Yener and Mingyan Liu, “Providing Differential Privacy for Federated Learning Over Wireless: A Cross-layer Framework“, submitted on Dec 2024. arxiv version: https://arxiv.org/abs/2412.04408
- Jiayu Mao and Aylin Yener, “Adaptive Personalized Over-the-Air Federated
Learning with Reflecting Intelligent Surfaces”, submitted on Nov 2024. arxiv version: https://arxiv.org/abs/2412.03514 - Seyyedali Hosseinalipour, Jiayu Mao, Do Young Eun, Huaiyu Dai, “Prevention and Mitigation of Catastrophic Failures in Demand-Supply Interdependent Networks,” IEEE Transactions on Network Science and Engineering, 7(3), pp. 1710 – 1723, Nov. 2019.
Conference Published / Accepted
- Jiayu Mao, Tongxin Yin, Aylin Yener and Mingyan Liu, “Leveraging the Physical Layer for Differential Privacy in Over-the-Air Federated Learning”, IEEE International Conference on Communications (ICC), June 2024.
- Jiayu Mao and Aylin Yener, “Personalized Over-the-Air Federated Learning with Personalized Reconfigurable Intelligent Surfaces”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2024.
- Jiayu Mao and Aylin Yener, “RIS-Assisted Over-the-Air Adaptive Federated Learning with Noisy Downlink”, IEEE International Conference on Communications Workshops (ICC Workshop), May 2023.
- Jiayu Mao and Aylin Yener, “ROAR-Fed: RIS-Assisted Over-the-Air Adaptive Resource Allocation for Federated Learning”, IEEE International Conference on Communications (ICC), May 2023.
- Jiayu Mao and Aylin Yener, “Iterative Power Control for Wireless Networks with Distributed Reconfigurable Intelligent Surfaces,” IEEE Global Communications Conference (GLOBECOM), Dec. 2022.
- Jiayu Mao*, Haibo Yang*, Peiwen Qiu, Jia Liu and Aylin Yener, “CHARLES: Channel-Quality-Adaptive Over-the-Air Federated Learning over Wireless Networks,” IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC), Jul. 2022.