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Personalized Rollout Allocation for Federated LQR Policy Optimization under Heterogeneous Process Noise
We study federated model-free learning of a common linear quadratic regulator (LQR) gain under a limited uplink communication budget, with clients that share dynamics and costs but experience different process-noise levels. Conventionally, clients transmit gradient matrices whose dimension equals th
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