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cs.LG2024
Communication-efficient Vertical Federated Learning via Compressed Error Feedback
Pedro Valdeira, João Xavier, Cláudia Soares +1
Communication overhead is a known bottleneck in federated learning (FL). To address this, lossy compression is commonly used on the information communicated between the server and…
eess.SP2024
Outlier-resilient model fitting via percentile losses: Methods for general and convex residuals
João Domingos, João Xavier
We consider the problem of robustly fitting a model to data that includes outliers by formulating a percentile optimization problem. This problem is non-smooth and non-convex, henc…