3 papers
math.OC2025
DIGing--SGLD: Decentralized and Scalable Langevin Sampling over Time--Varying Networks
Waheed U. Bajwa, Mert Gurbuzbalaban, Mustafa Ali Kutbay +2
Sampling from a target distribution induced by training data is central to Bayesian learning, with Stochastic Gradient Langevin Dynamics (SGLD) serving as a key tool for scalable p…
cs.LG2025
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…
cs.LG2024
Mitigating Data Injection Attacks on Federated Learning
Or Shalom, Amir Leshem, Waheed U. Bajwa
Federated learning is a technique that allows multiple entities to collaboratively train models using their data without compromising data privacy. However, despite its advantages,…