3 papers
cs.LG2026
The Measure of Deception: An Analysis of Data Forging in Machine Unlearning
Rishabh Dixit, Yuan Hui, Rayan Saab
Motivated by privacy regulations and the need to mitigate the effects of harmful data, machine unlearning seeks to modify trained models so that they effectively ``forget'' designa…
cs.LG2026
RESIST: Resilient Decentralized Learning Using Consensus Gradient Descent
Cheng Fang, Rishabh Dixit, Waheed U. Bajwa +1
Empirical risk minimization (ERM) is a cornerstone of modern machine learning (ML), supported by advances in optimization theory that ensure efficient solutions with provable algor…
math.OC2026
Accelerated Gradient Methods for Nonconvex Optimization: Escape Trajectories From Strict Saddle Points and Convergence to Local Minima
Rishabh Dixit, Mert Gurbuzbalaban, Waheed U. Bajwa
This paper considers the problem of understanding the behavior of a general class of accelerated gradient methods on smooth nonconvex functions. Motivated by some recent works that…