most citedDynamically Computing Adversarial Perturbations for Recurrent Neural Networks

2 citations · 4 across the 3 of their papers we have counts for

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math.OC2021

BFGS-ADMM for Large-Scale Distributed Optimization

Yichuan Li, Yonghai Gong, Nikolaos M. Freris +2

We consider a class of distributed optimization problem where the objective function consists of a sum of strongly convex and smooth functions and a (possibly nonsmooth) convex reg…

math.OC2021★ 2 cited

DN-ADMM: Distributed Newton ADMM for Multi-agent Optimization

Yichuan Li, Nikolaos M. Freris, Petros Voulgaris +1

In a multi-agent network, we consider the problem of minimizing an objective function that is expressed as the sum of private convex and smooth functions, and a (possibly) non-diff…