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M. Sabzevari

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#federated learning Open access Nov 2026

FedMixer: Heterogeneity-Resilient Federated Learning for Time Series Forecasting

Time series forecasting (TSF) models the underlying patterns of historical and current time series data to make predictions for future trends, which is widely applied in varying areas to enhance decision-making, optimize resource allocation, and improve operational efficiency. However, traditional TSF approaches are in...

Bo-Yu Fan, M. Sabzevari, Xiang Su et al. · 0 citations
Open access Aug 2026

Compressed FHE: Accelerating Encrypted Matrix Multiplication in CKKS with Precision-Balanced Low-Rank Factor Chains

Experimental evaluations demonstrate that encrypted low-rank matrix multiplications achieve both significant runtime improvements and reduction of ciphertext sizes over direct or tree-based encrypted multiplications while maintaining the prescribed accuracy.

D. Schoinianakis, M. Sabzevari · 0 citations

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