The TS Inverse: Unveiling Research Insights 📜

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This research explores TS-Inverse, a novel framework addressing privacy risks in Federated Learning for time series forecasting. Beginning with context and challenges of gradient inversion attacks (GIAs), the study evaluates these issues and highlights the unique obstacles posed by time series data. Key contributions include improved performance in time series reconstruction and innovative regularisation techniques within the gradient inversion model. Comprehensive evaluations demonstrate TS-...