Search Results for author:
Found 3 papers, 0 papers with code
Vertical Federated Learning over Cloud-RAN: Convergence Analysis and System Optimization
To improve the learning performance, we establish a system optimization framework by joint transceiver and fronthaul quantization design, for which successive convex approximation and alternate convex search based system optimization algorithms are developed.
Fast Convergence Algorithm for Analog Federated Learning
In this paper, we consider federated learning (FL) over a noisy fading multiple access channel (MAC), where an edge server aggregates the local models transmitted by multiple end devices through over-the-air computation (AirComp).
Learning One-hidden-layer neural networks via Provable Gradient Descent with Random Initialization
Although deep learning has shown its powerful performance in many applications, the mathematical principles behind neural networks are still mysterious.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
