Relay-assisted cooperative federated learning

Z Lin, H Liu, YJA Zhang - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Federated learning (FL) has recently emerged as a promising technology to enable artificial
intelligence (AI) at the network edge, where distributed mobile devices collaboratively train a …

Network for Distributed Intelligence: A Survey and Future Perspectives

C Campolo, A Iera, A Molinaro - IEEE Access, 2023 - ieeexplore.ieee.org
To keep pace with the explosive growth of Artificial Intelligence (AI) and Machine Learning
(ML)-dominated applications, distributed intelligence solutions are gaining momentum …

Federated learning over-the-air by retransmissions

H Hellström, V Fodor… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Motivated by the increasing computational capabilities of wireless devices, as well as
unprecedented levels of user-and device-generated data, new distributed machine learning …

CFLIT: Coexisting federated learning and information transfer

Z Lin, H Liu, YJA Zhang - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
Future wireless networks are expected to support diverse mobile services, including artificial
intelligence (AI) services and ubiquitous data transmissions. Federated learning (FL), as a …

Energy-Efficient Over-the-Air Computation for Relay-Assisted IoT Networks

J Wan, J Wen, K Wang, Q Wu… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Over-the-air computation (AirComp) utilizes the superposition of wireless multiple access
channels (MAC) to achieve efficient data aggregation, which is a very effective way to …