Search Results for author: Kiarash Shaloudegi

Found 4 papers, 2 papers with code

An Operator Splitting View of Federated Learning

no code implementations12 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.

Federated Learning

Federated Learning Meets Multi-objective Optimization

1 code implementation20 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.

Fairness Federated Learning

Adaptive MCMC via Combining Local Samplers

no code implementations11 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).

SDP Relaxation with Randomized Rounding for Energy Disaggregation

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.

Total Energy

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