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cs.LG2026
Convergence of Byzantine-Resilient Gradient Tracking via Probabilistic Edge Dropout
Amirhossein Dezhboro, Fateme Maleki, Arman Adibi +2
We study distributed optimization over networks with Byzantine agents that may send arbitrary adversarial messages. We propose \emph{Gradient Tracking with Probabilistic Edge Dropo…
cs.LG2026
Cascading Robustness Verification: Toward Efficient Model-Agnostic Certification
Mohammadreza Maleki, Rushendra Sidibomma, Arman Adibi +1
Certifying neural network robustness against adversarial examples is challenging, as formal guarantees often require solving non-convex problems. Hence, incomplete verifiers are wi…
cs.LG2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
Arman Adibi, Nicolo Dal Fabbro, Luca Schenato +5
Motivated by applications in large-scale and multi-agent reinforcement learning, we study the non-asymptotic performance of stochastic approximation (SA) schemes with delayed updat…