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Spectral Graph Theory Based Resource Allocation for IRS-Assisted Multi-Hop Edge Computing
The performance of mobile edge computing (MEC) depends critically on the...
02/06/2021 ∙ by Huilian Zhang, et al. ∙
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On the Design of Communication Efficient Federated Learning over Wireless Networks
Recently, federated learning (FL), as a promising distributed machine le...
04/15/2020 ∙ by Richeng Jin, et al. ∙
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Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
Federated learning (FL) has emerged as a prominent distributed learning ...
02/25/2020 ∙ by Richeng Jin, et al. ∙
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Dynamic Interference Management for UAV-Assisted Wireless Networks
The deployment of unmanned aerial vehicles (UAVs) is proliferating as th...
09/26/2019 ∙ by Ali Rahmati, et al. ∙
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Interference Avoidance in UAV-Assisted Networks: Joint 3D Trajectory Design and Power Allocation
The use of the unmanned aerial vehicle (UAV) has been foreseen as a prom...
04/16/2019 ∙ by Ali Rahmati, et al. ∙
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Distributed Byzantine Tolerant Stochastic Gradient Descent in the Era of Big Data
The recent advances in sensor technologies and smart devices enable the ...
02/27/2019 ∙ by Richeng Jin, et al. ∙
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Dynamic Mobility-Aware Interference Avoidance for Aerial Base Stations in Cognitive Radio Networks
Aerial base station (ABS) is a promising solution for public safety as i...
01/09/2019 ∙ by Ali Rahmati, et al. ∙
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Decentralized Differentially Private Without-Replacement Stochastic Gradient Descent
While machine learning has achieved remarkable results in a wide variety...
09/08/2018 ∙ by Richeng Jin, et al. ∙
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