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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

We study personalized federated reinforcement learning, in which $n$ agents, each acting in its own Markov decision process, collaborate through a server to learn a shared MAML-style policy initialization that becomes effective for an individual agent once that agent adapts it with a single local policy-gradient step....

Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon · 0 citations
Preprint Aug 2026

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

In dynamic mobile decentralized federated learning (DFL), adversaries can poison both model updates and the topology information devices use to choose collaborators. We present DMTT (Dynamic MURMURA with Trusted Topology), a decentralized personalized FL protocol built on MURMURA, which uses evidential deep learning to...

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

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