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06/01/2023
CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning
Asynchronous federated learning aims to solve the straggler problem in h...
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04/16/2023
Optimal distributions for randomized unbiased estimators with an infinite horizon and an adaptive algorithm
The randomized unbiased estimators of Rhee and Glynn (Operations Researc...
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01/12/2022
When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges
The exponential growth of internet connected systems has generated numer...
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08/05/2021
User Scheduling for Federated Learning Through Over-the-Air Computation
A new machine learning (ML) technique termed as federated learning (FL) ...
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12/09/2020
Energy Efficient Robust Beamforming and Cooperative Jamming Design for IRS-Assisted MISO Networks
Energy-efficient design and secure communications are of crucial importa...
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04/11/2020
Towards Green Mobile Edge Computing Offloading Systems with Security Enhancement
Mobile edge computing (MEC) is an emerging communication scheme that aim...
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11/12/2019