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Multitask-learning-over-graphs-simulation

Code examples to accompany the tutorial "T-12: Federated and Decentralized Multitask Learning" by Stefan Vlaski, Roula Nassif and Ali H. Sayed at IEEE ICASSP 2022.

Code is provided in Jupyter notebooks in gmrf.ipynb to reproduce simulations around Gaussian Markov Random Fields in Part II, as well as multitask.ipynb to reproduce some of the multitask concepts described in Part III.

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A toy example for illustrating multitask learning under smoothness

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