
The authors propose a distributed parallel adaptive lasso method called PALMS to reconstruct large-scale latent networks by leveraging multi-directional signals from nodal dynamics, significantly improving computational efficiency while maintaining estimation accuracy.


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distributed-parallel-adaptive-lasso-method-for-large-scale-latent-network-reconstruction-using-multi-directional-signals-


Distributed Parallel Adaptive Lasso Method for Large-Scale Latent Network Reconstruction Using Multi-directional Signals


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While reconstructing complete network dynamics from partial observations is theoretically possible, even when network structure is known, the success of such reconstructions is highly dependent on the observation location and significantly limited by noise magnification.


reconstruction-of-network-dynamics-from-partial-observations-an-analysis-of-observational-error-magnification


Reconstruction of Network Dynamics from Partial Observations: An Analysis of Observational Error Magnification
