On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

Trend · papers per month

count % of corpus

3 results for “outlier-filtering”

Byzantine-Resilient SGD in High Dimensions on Heterogeneous Datastat.ML

New algorithm resists Byzantine attacks in distributed SGD for heterogeneous data.

problem Byzantine attacks in distributed SGD for heterogeneous data.

method Polynomial-time outlier-filtering for robust mean estimation, new matrix concentration result.

result Tolerates up to 25% Byzantine workers and achieves optimal convergence rates.

Byzantine attacks distributed SGD heterogeneous data outlier-filtering matrix concentration

2020-05-16abs ↗pdf ↗

VSCOUT: A Hybrid Variational Autoencoder Approach to Outlier Detection in High-Dimensional Retrospective Monitoringstat.ML

VSCOUT detects anomalies in high-dimensional data using a hybrid VAE approach.

problem Challenges in classical SPC for high-dimensional, non-Gaussian data.

method Hybrid VAE architecture with ARD prior, ensemble filtering, and changepoint detection.

result VSCOUT achieves superior sensitivity to special-cause structure and controlled false alarms.

outlier detection variational autoencoder retrospective monitoring high-dimensional data special-cause structure

2026-01-28abs ↗pdf ↗

Byzantine-Resilient High-Dimensional Federated Learningstat.ML

Byzantine-resilient federated learning with local iterations and robust mean estimation.

problem Byzantine clients disrupt federated learning with local iterations.

method Local SGD iterations, robust mean estimation, and matrix concentration result.

result Convergence analysis for strongly-convex and non-convex smooth objectives in heterogeneous data settings.

federated learning Byzantine resilience local iterations robust mean estimation matrix concentration

2020-06-22abs ↗pdf ↗