arXiv (All)
open access
A Survey on Foundation Models for Personalized Federated Intelligence
The rise of large language models (LLMs), such as ChatGPT, Gemini, and Grok, has reshaped the AI landscape. As prominent instances of foundational models (FMs), they exhibit remarkable capabilities in generating human-like content, pushing the boundaries towards artificial general intelligence (AGI)
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
- Agentic AIs Are the Missing Paradigm for Out-of-Distribution Generalization in Foundation Models#168343
- From Parameters to Behaviors: A Survey of Model Fusion for Large Language Models#1014145
- DeepInstructor: An Agentic AI Instructor for Experience-Driven Idea Evaluation#1036788
- Behind the Answer: How Branding Gets Seeded into GenAI Responses#704859
- QoNext: Towards Next-generation QoE for Foundation Models#971710
Record · ID 999656
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