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05/09/2022
Data Size-Aware Downlink Massive MIMO: A Session-Based Approach
This letter considers the development of transmission strategies for the...
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03/17/2022
Graph Augmentation Learning
Graph Augmentation Learning (GAL) provides outstanding solutions for gra...
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12/22/2021
Energy-Efficient Massive MIMO for Federated Learning: Transmission Designs and Resource Allocations
Future wireless networks require the integration of machine learning wit...
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08/30/2021
Energy-Efficient Massive MIMO for Serving Multiple Federated Learning Groups
With its privacy preservation and communication efficiency, federated le...
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02/14/2021
FedU: A Unified Framework for Federated Multi-Task Learning with Laplacian Regularization
Federated multi-task learning (FMTL) has emerged as a natural choice to ...
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09/04/2020
User Selection Approaches to Mitigate the Straggler Effect for Federated Learning on Cell-Free Massive MIMO Networks
This work proposes UE selection approaches to mitigate the straggler eff...
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09/27/2019