Edge federated learning via unit-modulus over-the-air computation
… To fill the research gap, this paper proposes the unitmodulus AirComp (UMAirComp)
framework for edge FL in MIMO communication systems, as shown in Fig. 1. The UMAirComp …
framework for edge FL in MIMO communication systems, as shown in Fig. 1. The UMAirComp …
Unit-modulus wireless federated learning via penalty alternating minimization
… the unitmodulus wireless FL (UMWFL) framework which integrates AirComp and unit-modulus …
Finally, to simulate the vehicle platoon federated learning, we need to specify the local …
Finally, to simulate the vehicle platoon federated learning, we need to specify the local …
Intelligent reflecting surfaces enhanced federated learning
… aggregation for the federated learning aided by multiple … for devices and the unit-modulus
constraint for reflecting elements. … multi-IRS enhanced federated learning can converge faster …
constraint for reflecting elements. … multi-IRS enhanced federated learning can converge faster …
Federated learning with autotuned communication-efficient secure aggregation
K Bonawitz, F Salehi, J Konečný… - 2019 53rd Asilomar …, 2019 - ieeexplore.ieee.org
… We fixed the SECAGG modulus for the entries of the sum to k = 28, ie 8 bit fixed point
quantization. Figures 2 and 3 show the results of the experiments, using various values of α for the …
quantization. Figures 2 and 3 show the results of the experiments, using various values of α for the …
RIS-assisted over-the-air federated learning in millimeter wave MIMO networks
… (RIS) assisted over-the-air federated learning (FL), where multiple antennas are deployed …
-based algorithm to solve the unit modulus constraints and decouple the optimization variables…
-based algorithm to solve the unit modulus constraints and decouple the optimization variables…
Federated learning for automatic modulation classification under class imbalance and varying noise condition
… In this paper, we propose a federated learning (FL)-based AMC , ie FedeAMC. The proposed
method can achieve the similar classification accuracy with the CentAMC and the low data …
method can achieve the similar classification accuracy with the CentAMC and the low data …
Federated learning as a privacy-providing machine learning for defect predictions in smart manufacturing
MA da Silveira Dib, B Ribeiro… - Smart and …, 2021 - asmedigitalcollection.asme.org
… ABSTRACT In this work, the federated learning methodology is applied to predict defects
in sheet metal forming processes exposed to sources of scatter in the material properties and …
in sheet metal forming processes exposed to sources of scatter in the material properties and …
A secure federated learning framework using homomorphic encryption and verifiable computing
A Madi, O Stan, A Mayoue… - … Privacy, and Security …, 2021 - ieeexplore.ieee.org
… both nk/n and wk and a modulus size of 2048 bits. The experiments were performed for a
modulus on 2048 bits since in terms of security, a modulus size of 2048 bits provides long-term …
modulus on 2048 bits since in terms of security, a modulus size of 2048 bits provides long-term …
QoS-constrained federated learning empowered by intelligent reflecting surface
J Zheng, W Ni, H Tian, Y Wang - 2021 IEEE 32nd Annual …, 2021 - ieeexplore.ieee.org
… in an over-the-air federated learning (AirFL) system, where an … power constraint for devices,
unit-modulus constraint for reflecting … scheme in improving federated learning performance. …
unit-modulus constraint for reflecting … scheme in improving federated learning performance. …
Federated learning for hybrid beamforming in mm-wave massive MIMO
… In this work, we introduce a federated learning (FL) based framework for hybrid beamforming, …
assume that the RF precoder has constant unit-modulus elements, ie, |[FRF]i,j|2 = 1, thus, …
assume that the RF precoder has constant unit-modulus elements, ie, |[FRF]i,j|2 = 1, thus, …
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