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07/21/2023
Tuning Pre-trained Model via Moment Probing
Recently, efficient fine-tuning of large-scale pre-trained models has at...
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04/14/2022
Distributed Over-the-air Computing for Fast Distributed Optimization: Beamforming Design and Convergence Analysis
Distributed optimization concerns the optimization of a common function ...
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03/10/2021
Deploying Federated Learning in Large-Scale Cellular Networks: Spatial Convergence Analysis
The deployment of federated learning in a wireless network, called feder...
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12/03/2019