2 papers
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…
eess.AS2026
Test-Time Adaptation For Speech Enhancement Via Mask Polarization
Tobias Raichle, Erfan Amini, Bin Yang
Adapting speech enhancement (SE) models to unseen environments is crucial for practical deployments, yet test-time adaptation (TTA) for SE remains largely under-explored due to a l…