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math.OC2026
Heterogeneous Hegselmann-Krause Dynamics Need Not Converge
S. Rasoul Etesami, Behrouz Touri
We give a six-agent counterexample to convergence of scalar heterogeneous Hegselmann--Krause dynamics.
math.OC2026
Convex and Non-convex Federated Learning with Stale Stochastic Gradients: Diminishing Step Size is All You Need
Xinran Zheng, Tara Javidi, Behrouz Touri
We propose a general framework for distributed stochastic optimization under delayed gradient models. In this setting, local agents leverage their own data and computation to a…