Author

Ali Beikmohammadi

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#machine learning Preprint Sep 2026

Personalized Federated Reinforcement Learning via Model-Agnostic Meta-Learning: Convergence of Exact and Hessian-Free Meta-Policy Gradients

Together these results identify the adaptation step size as a tunable personalization knob and the curvature estimate as the quantity that governs whether exact meta-gradients are affordable.

Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon · 0 citations

Preprint Aug 2026

Trust-Aware Topology Learning for Dynamic Decentralized Federated Learning under Adversaries

DMTT (Dynamic MURMURA with Trusted Topology), a decentralized personalized FL protocol built on MURMURA, which uses evidential deep learning to down-weight distribution-mismatched peers, extended here to time-varying graphs under topology-manipulation attacks.

Shubham Vaishnav, Murtaza Rangwala, Ali Beikmohammadi et al. · 0 citations