One-bit over-the-air aggregation for communication-efficient federated edge learning
To mitigate the multi-access latency in federated edge learning, an efficient broadband
analog transmission scheme has been recently proposed, featuring the aggregation of …
analog transmission scheme has been recently proposed, featuring the aggregation of …
One-bit over-the-air aggregation for communication-efficient federated edge learning: Design and convergence analysis
Federated edge learning (FEEL) is a popular framework for model training at an edge server
using data distributed at edge devices (eg, smart-phones and sensors) without …
using data distributed at edge devices (eg, smart-phones and sensors) without …
Blind Federated Learning via Over-the-Air q-QAM
S Razavikia, JMBDS Júnior, C Fischione - arXiv preprint arXiv:2311.04253, 2023 - arxiv.org
In this work, we investigate federated edge learning over a fading multiple access channel.
To alleviate the communication burden between the edge devices and the access point, we …
To alleviate the communication burden between the edge devices and the access point, we …
Broadband analog aggregation for low-latency federated edge learning
To leverage rich data distributed at the network edge, a new machine-learning paradigm,
called edge learning, has emerged where learning algorithms are deployed at the edge for …
called edge learning, has emerged where learning algorithms are deployed at the edge for …
Temporal-structure-assisted gradient aggregation for over-the-air federated edge learning
In this paper, we investigate over-the-air model aggregation in a federated edge learning
(FEEL) system. We introduce a Markovian probability model to characterize the intrinsic …
(FEEL) system. We introduce a Markovian probability model to characterize the intrinsic …
Cluster-based cooperative digital over-the-air aggregation for wireless federated edge learning
In this paper, we study a federated learning system at the wireless edge that uses over-the-
air computation (Air-Comp). In such a system, users transmit their messages over a multi …
air computation (Air-Comp). In such a system, users transmit their messages over a multi …
One bit aggregation for federated edge learning with reconfigurable intelligent surface: Analysis and optimization
H Li, R Wang, W Zhang, J Wu - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
As one of the most popular and attractive frameworks for model training, federated edge
learning (FEEL) presents a new paradigm, which avoids direct data transmission by …
learning (FEEL) presents a new paradigm, which avoids direct data transmission by …
Massive Digital Over-the-Air Computation for Communication-Efficient Federated Edge Learning
Over-the-air computation (AirComp) is a promising technology converging communication
and computation over wireless networks, which can be particularly effective in model …
and computation over wireless networks, which can be particularly effective in model …
Optimized power control for over-the-air federated edge learning
Over-the-air federated edge learning (Air-FEEL) is a communication-efficient solution for
privacy-preserving distributed learning over wireless networks. Air-FEEL allows" one-shot" …
privacy-preserving distributed learning over wireless networks. Air-FEEL allows" one-shot" …
Joint optimization for federated learning over the air
In this paper, we focus on federated learning (FL) over the air based on analog aggregation
transmission in realistic wireless networks. We first derive a closed-form expression for the …
transmission in realistic wireless networks. We first derive a closed-form expression for the …