arXiv (OAI Expanded)
open access
MPT: Missing Prototype Tracking via Barycentric Reconstruction in Vehicular Federated Learning
Cross-vehicle federated learning enables vehicles to collaboratively improve perception models while keeping locally collected driving data private. However, vehicle participation is transient, and a vehicle may depart before training converges while permanently taking its local data. When this depa
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- OPFL: Optimistic Verification of Federated Learning via Empirical Boundary#1132212
- OPFL: Optimistic Verification of Federated Learning via Empirical Boundary#1122205
- Long-term online tracking, T8 (GLES 2009)#275034
- FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning#430486
- DDP-SA: Scalable Privacy-Preserving Federated Learning via Distributed Differential Privacy and Secure Aggregation#2472
Record · ID 1070239
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive