1 code implementation • 5 Dec 2023 • Zhongyuan Zhao, Jake Perazzone, Gunjan Verma, Santiago Segarra
Computational offloading has become an enabling component for edge intelligence in mobile and smart devices.
2 code implementations • 18 Apr 2023 • Boning Li, Jake Perazzone, Ananthram Swami, Santiago Segarra
We propose a novel data-driven approach to allocate transmit power for federated learning (FL) over interference-limited wireless networks.
no code implementations • 16 Dec 2022 • Shiqiang Wang, Jake Perazzone, Mingyue Ji, Kevin S. Chan
In this paper, we address this problem and propose FlexFL - an FL algorithm with multiple options that can be adjusted flexibly.
no code implementations • 19 Jan 2022 • Jake Perazzone, Shiqiang Wang, Mingyue Ji, Kevin Chan
Then, using the derived convergence bound, we use stochastic optimization to develop a new client selection and power allocation algorithm that minimizes a function of the convergence bound and the average communication time under a transmit power constraint.