DigitalCommons@Kennesaw State University
metadata only
Enabling Parameter-Efficient Multi-Tasking via Multi-Head Architecture for Edge Device Deployment
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
- OctoNest: Adaptive Cross-Device Execution through Stateful Control#1143814
- Unlocking the Edge deployment and ondevice acceleration of multi-LoRA enabled one-for-all foundational LLM#124032
- SemanticXR: Low Power and Real-time Queryable Semantic Mapping with an Object-Level Device-Cloud Architecture#271797
- FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices#141498
- Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning#617988
Record · ID 168976
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