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06/07/2023
Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee
Recent years have witnessed a huge demand for artificial intelligence an...
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12/03/2022
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework
As a novel distributed learning paradigm, federated learning (FL) faces ...
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10/28/2022
Low-Complexity Channel Estimation for Massive MIMO Systems with Decentralized Baseband Processing
The traditional centralized baseband processing architecture is faced wi...
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06/28/2022
CSI Sensing from Heterogeneous User Feedbacks: A Constrained Phase Retrieval Approach
This paper investigates the downlink channel state information (CSI) sen...
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06/17/2021
Quantized Federated Learning under Transmission Delay and Outage Constraints
Federated learning (FL) has been recognized as a viable distributed lear...
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09/11/2020
Energy-Efficient Design of IRS-NOMA Networks
Combining intelligent reflecting surface (IRS) and non-orthogonal multip...
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09/11/2020
Optimal Resource Allocation for Delay Minimization in NOMA-MEC Networks
Multi-access edge computing (MEC) can enhance the computing capability o...
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06/10/2020
Intelligent User Clustering and Robust Beamforming Design for UAV-NOMA Downlink
In this work, we consider a downlink NOMA network with multiple single-a...
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11/04/2019
HARQ-CC Enabled NOMA Designs With Outage Probability Constraints
In this paper, we aim to design an adaptive power allocation scheme to m...
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09/15/2019
Physical Layer Security in UAV Systems: Challenges and Opportunities
Unmanned aerial vehicle (UAV) wireless communications have experienced a...
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04/28/2019
Optimal Task Assignment and Power Allocation for NOMA Mobile-Edge Computing Networks
Mobile edge computing (MEC) can enhance the computing capability of mobi...
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06/24/2018
On Energy-Efficient NOMA Designs for Heterogeneous Low-Latency Downlink Transmissions
This paper investigates energy-efficient resource allocation for the two...
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12/13/2017