no code implementations • 12 Aug 2021 • Saber Malekmohammadi, Kiarash Shaloudegi, Zeou Hu, YaoLiang Yu
Over the past few years, the federated learning ($\texttt{FL}$) community has witnessed a proliferation of new $\texttt{FL}$ algorithms.
1 code implementation • 20 Jun 2020 • Zeou Hu, Kiarash Shaloudegi, Guojun Zhang, Yao-Liang Yu
Federated learning has emerged as a promising, massively distributed way to train a joint deep model over large amounts of edge devices while keeping private user data strictly on device.
no code implementations • 11 Jun 2018 • Kiarash Shaloudegi, András György
Here we take a different approach and, similarly to parallel MCMC methods, instead of trying to find a single chain that samples from the whole distribution, we combine samples from several chains run in parallel, each exploring only parts of the state space (e. g., a few modes only).
2 code implementations • NeurIPS 2016 • Kiarash Shaloudegi, András György, Csaba Szepesvári, Wilsun Xu
We develop a scalable, computationally efficient method for the task of energy disaggregation for home appliance monitoring.