Aayushya Agarwal — accepted AI-conference papers

2025

FedECADO: A Dynamical System Model of Federated Learning

Aayushya Agarwal, Gauri Joshi, Lawrence Pileggi

ICML 2025poster

Federated learning harnesses the power of distributed optimization to train a unified machine learning model across separate clients. However, heterogeneous data distributions and computational workloads can lead to inconsistent updates and limit model performance. This work tackles these challenges…

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2021

Adversarially robust learning for security-constrained optimal power flow

Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry Pileggi, J Zico Kolter

NeurIPS 2021poster

In recent years, the ML community has seen surges of interest in both adversarially robust learning and implicit layers, but connections between these two areas have seldom been explored. In this work, we combine innovations from these areas to tackle the problem of N-k security-constrained optimal…

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