Semantic Scholar
metadata only
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
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
- Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications#341899
- Communication-efficient personalization in federated learning for edge devices#964153
- Communication-Efficient Zero-Order and First-Order Federated Learning Methods over Wireless Networks#231503
- Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity#984864
- FedLTLib: A Comprehensive Benchmark for Federated Long-Tail Learning#1109610
Record · ID 177303
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