29 citations · 49 across the 13 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CR2023★ 2 cited
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey
Yichen Wan, Youyang Qu, Wei Ni +3
Due to the greatly improved capabilities of devices, massive data, and increasing concern about data privacy, Federated Learning (FL) has been increasingly considered for applicati…
eess.SP2023
OFDMA-FL: Federated Learning With Flexible Aggregation Over an OFDMA Air Interface
Shuyan Hu, Xin Yuan, Wei Ni +3
Federated learning (FL) can suffer from a communication bottleneck when deployed in mobile networks, limiting participating clients and deterring FL convergence. The impact of prac…
quant-ph2023★ 7 cited
Towards Quantum-Native Communication Systems: State-of-the-Art, Trends, and Challenges
Xiaolin Zhou, Anqi Shen, Shuyan Hu +3
The potential synergy between quantum communications and future wireless communication systems is explored. By proposing a quantum-native or quantum-by-design philosophy, the surve…