S.S., Panda, Soumyashree SoumyaprakashPanda, Soumyashree SoumyaprakashS.S.R.S., Hegde, Ravi SadanandaHegde, Ravi SadanandaR.S.2025-09-012025-09-019.78E+122-s2.0-85120464788https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120464788&partnerID=40&md5=0210fecd3326502f1532562b8b62f8fdhttps://d8.irins.org/handle/IITG2025/29363We report a novel robust training regimen for Diffractive Optical Networks that uses gradient based regularization terms in the training objective. Enhanced fault tolerance and noise immunity has been observed with models trained with this method. � 2021 Elsevier B.V., All rights reserved.EnglishOptical fiber communicationOptical fibersFault-tolerantGradient basedNoise immuneNoise immunityOptical-Regularization termsRobust trainingsFault toleranceTowards Training Fault Tolerant and Noise Immune Diffractive Optical Neural EnginesConference paper2021