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.

169,051 papers · 148 categories

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3 results for “crowdsensing”

Cloud-based Federated Boosting for Mobile Crowdsensingcs.CR

A new federated learning method protects privacy in mobile crowdsensing.

problem Data and model privacy protection in federated extreme gradient boosting for mobile crowdsensing.

method Secret sharing based federated learning architecture FedXGB.

result FedXGB achieves less than 1% accuracy loss while preserving model privacy.

federated learning mobile crowdsensing privacy protection secret sharing XGBoost

2020-05-09abs ↗pdf ↗

iDriveSense: Dynamic Route Planning Involving Roads Quality Informationcs.CY

iDriveSense offers safer trip recommendations by considering road anomalies.

problem Drivers seek safer routes despite shortest/fastest path recommendations.

method Crowdsensing, vehicle sensors, fuzzy systems for road quality assessment.

result Proposes a system for dynamic route planning considering road anomalies.

traffic management route planning smart cities fuzzy systems crowdsensing

2018-09-08abs ↗pdf ↗

Faster On-Device Training Using New Federated Momentum Algorithmcs.LG

Faster convergence in federated learning for non-convex problems.

problem Accelerating convergence in federated learning for non-convex models.

method Reformulated federated learning as gradient-based method with biased gradients, proving convergence for non-convex problems and proposing an accelerated algorithm.

result Proved federated averaging algorithm converges for non-convex problems and proposed an accelerated federated learning algorithm with convergence guarantee.

federated learning gradient-based accelerated non-convex problems convergence

2020-02-06abs ↗pdf ↗