Toward energy-efficient federated learning over 5G+ mobile devices
The continuous convergence of machine learning algorithms, 5G and beyond (5G+)
wireless communications, and artificial intelligence (AI) hardware implementation hastens …
wireless communications, and artificial intelligence (AI) hardware implementation hastens …
Fedair: Towards multi-hop federated learning over-the-air
P Pinyoanuntapong, P Janakaraj… - 2020 IEEE 21st …, 2020 - ieeexplore.ieee.org
Federated learning (FL) has emerged as a key technology for enabling next-generation AI at
scale. The classical FL systems use single-hop cellular links to deliver the local models from …
scale. The classical FL systems use single-hop cellular links to deliver the local models from …
Federated learning for resource-constrained iot devices: Panoramas and state of the art
Nowadays, devices are equipped with advanced sensors with higher processing and
computing capabilities. Besides, widespread Internet availability enables communication …
computing capabilities. Besides, widespread Internet availability enables communication …
Federated Learning and Meta Learning: Approaches, Applications, and Directions
Over the past few years, significant advancements have been made in the field of machine
learning (ML) to address resource management, interference management, autonomy, and …
learning (ML) to address resource management, interference management, autonomy, and …
UAV-assisted communication efficient federated learning in the era of the artificial intelligence of things
Artificial Intelligence (AI) based models are increasingly deployed in the Internet of Things
(IoT), paving the evolution of the IoT into the AI of things (AIoT). Currently, the predominant …
(IoT), paving the evolution of the IoT into the AI of things (AIoT). Currently, the predominant …
Fedlp: Layer-wise pruning mechanism for communication-computation efficient federated learning
Z Zhu, Y Shi, J Luo, F Wang, C Peng… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Federated learning (FL) has prevailed as an efficient and privacy-preserved scheme for
distributed learning. In this work, we mainly focus on the optimization of computation and …
distributed learning. In this work, we mainly focus on the optimization of computation and …
Federated learning and next generation wireless communications: A survey on bidirectional relationship
In order to meet the extremely heterogeneous requirements of the next generation wireless
communication networks, research community is increasingly dependent on using machine …
communication networks, research community is increasingly dependent on using machine …
Federated learning for the internet of things: Applications, challenges, and opportunities
Billions of IoT devices will be deployed in the near future, taking advantage of faster Internet
speed and the possibility of orders of magnitude more endpoints brought by 5G/6G. With the …
speed and the possibility of orders of magnitude more endpoints brought by 5G/6G. With the …
Reconfigurable intelligent surface enabled federated learning: A unified communication-learning design approach
To exploit massive amounts of data generated at mobile edge networks, federated learning
(FL) has been proposed as an attractive substitute for centralized machine learning (ML). By …
(FL) has been proposed as an attractive substitute for centralized machine learning (ML). By …
Fedrelay: Federated relay learning for 6g mobile edge intelligence
Federated learning (FL) is a promising training paradigm to achieve ubiquitous intelligence
for future 6G communication systems. However, it is challenging to apply FL in 6G-enabled …
for future 6G communication systems. However, it is challenging to apply FL in 6G-enabled …