Communication-Computation Efficient Federated Learning over Wireless Networks
A Mahmoudi - 2023 - diva-portal.org
With the introduction of the Internet of Things (IoT) and 5G cellular networks, edge
computing will substantially alleviate the quality of service shortcomings of cloud computing …
computing will substantially alleviate the quality of service shortcomings of cloud computing …
Federated learning over wireless networks: Challenges and solutions
M Beitollahi, N Lu - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Motivated by ever-increasing computational resources at edge devices and increasing
privacy concerns, a new machine learning (ML) framework called federated learning (FL) …
privacy concerns, a new machine learning (ML) framework called federated learning (FL) …
FedPCC: Parallelism of communication and computation for federated learning in wireless networks
The advances of both computation and communication technologies facilitate the
exploitation of massive data generated by mobile devices. It is attractive to leverage these …
exploitation of massive data generated by mobile devices. It is attractive to leverage these …
Wireless Federated Learning over Resource-Constrained Networks: Digital versus Analog Transmissions
To enable wireless federated learning (FL) in communication resource-constrained
networks, two communication schemes, ie, digital and analog ones, are effective solutions …
networks, two communication schemes, ie, digital and analog ones, are effective solutions …
To talk or to work: Dynamic batch sizes assisted time efficient federated learning over future mobile edge devices
The coupling of federated learning (FL) and multi-access edge computing (MEC) has the
potential to foster numerous applications. However, it poses great challenges to train FL fast …
potential to foster numerous applications. However, it poses great challenges to train FL fast …
Performance optimization for variable bitwidth federated learning in wireless networks
This paper considers improving wireless communication and computation efficiency in
federated learning (FL) via model quantization. In the proposed bitwidth FL scheme, edge …
federated learning (FL) via model quantization. In the proposed bitwidth FL scheme, edge …
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling
As a popular distributed learning paradigm, federated learning (FL) over mobile devices
fosters numerous applications, while their practical deployment is hindered by participating …
fosters numerous applications, while their practical deployment is hindered by participating …
Computation and communication efficient federated learning over wireless networks
X Liu, T Ratnarajah - arXiv preprint arXiv:2309.01816, 2023 - arxiv.org
Federated learning (FL) allows model training from local data by edge devices while
preserving data privacy. However, the learning accuracy decreases due to the heterogeneity …
preserving data privacy. However, the learning accuracy decreases due to the heterogeneity …
A Survey on Federated Learning Algorithms in IoT networks
V Muradyan - 2023 - webthesis.biblio.polito.it
The capability of mobile devices to sense and compute at an advanced level has
significantly improved in recent years, and combined with the advancements in Deep …
significantly improved in recent years, and combined with the advancements in Deep …
Toward efficient hierarchical federated learning design over multi-hop wireless communications networks
Federated learning (FL) has recently received considerable attention and is becoming a
popular machine learning (ML) framework that allows clients to train machine learning …
popular machine learning (ML) framework that allows clients to train machine learning …