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.

168,742 papers · 148 categories

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4 results for “Cross-organizational”

P3LS: Partial Least Squares under Privacy Preservationstat.ML

P3LS preserves privacy while integrating data across companies.

problem Privacy concerns in cross-organizational data exchange and integration.

method Privacy-preserving federated learning technique using SVD-based PLS and random masks.

result Improves prediction performance on process-related indicators.

Privacy-preserving Federated learning Partial Least Squares Data integration Cross-organizational

2024-01-26abs ↗pdf ↗

Differential Private Stack Generalization with an Application to Diabetes Predictioncs.LG

To meet the standard of differential privacy, noise is usually added into the original data, which inevitably deteriorates the predicting performance of subsequent learning algorithms. In this paper, motivated by the success of improving predicting performance by ensemble learning, we propose to enhance privacy-preserv…

2018-11-23abs ↗pdf ↗

Distributed optimization: designed for federated learningcs.LG

Paper proposes distributed optimization for federated learning with theoretical guarantees.

problem Privacy-preserving cross-organizational data collaboration in machine learning.

method Augmented Lagrangian technique for diverse communication topologies, termination criteria, and parameter update mechanisms.

result The proposed framework recovers classical optimization methods and provides strong performance in large-scale federated learning.

federated learning distributed optimization augmented Lagrangian convergence guarantees proximal algorithm

2025-08-12abs ↗pdf ↗

FedAvg-Based CTMC Hazard Model for Federated Bridge Deterioration Assessmentcs.LG

Federated CTMC model estimates bridge deterioration hazards without sharing raw data.

problem Bridge inspection data privacy and cross-organizational data sharing constraints.

method Federated CTMC hazard model with local optimization and FedAvg aggregation.

result Federated model converges on global benchmark parameters without data transfer.

federated learning CTMC hazard modeling bridge deterioration privacy-preserving

2026-02-22abs ↗pdf ↗