A survey on over-the-air computation

A Şahin, R Yang - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Communication and computation are often viewed as separate tasks. This approach is very
effective from the perspective of engineering as isolated optimizations can be performed …

Over-the-Air Computation for 6G: Foundations, Technologies, and Applications

Z Wang, Y Zhao, Y Zhou, Y Shi, C Jiang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The rapid advancement of artificial intelligence technologies has given rise to diversified
intelligent services, which place unprecedented demands on massive connectivity and …

[HTML][HTML] Over-the-air federated learning: Status quo, open challenges, and future directions

B Xiao, X Yu, W Ni, X Wang, HV Poor - Fundamental Research, 2024 - Elsevier
The development of applications based on artificial intelligence and implemented over
wireless networks is increasingly rapidly and is expected to grow dramatically in the future …

Federated Edge Learning for 6G: Foundations, Methodologies, and Applications

M Tao, Y Zhou, Y Shi, J Lu, S Cui, J Lu… - Proceedings of the …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) is envisioned to be natively integrated into the sixth-generation (6G)
mobile networks to support a diverse range of intelligent applications. Federated edge …

Over-The-Air Federated Learning Over Scalable Cell-free Massive MIMO

H Sifaou, GY Li - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
Cell-free massive MIMO is emerging as a promising technology for future wireless
communication systems, which is expected to offer uniform coverage and high spectral …

One-Bit Byzantine-Tolerant Distributed Learning via Over-the-Air Computation

Y Yang, Y Wu, Y Jiang, Y Shi - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
Distributed learning has become a promising computational parallelism paradigm that
enables a wide scope of intelligent applications from the Internet of Things (IoT) to …

Byzantine-Resilient Hierarchical Federated Learning with Clustered Over-The-Air Aggregation

D Nordlund, J Liao, Z Chen - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This work focuses on the reliability and resilience aspects of federated learning (FL) over
wireless networks with Over-the-Air (OtA) aggregation of local model updates from …