Conceptio
›
Archive
›
arXiv (All)
arXiv (All)
open access
Complexity and Scale in AI-Assisted Workflow Management: A Federated Learning Case Study
Thareja, Komal et al.
arXiv (All) · Papers · License: Open Access
Open Source ↗
Direct PDF ↓
and-cluster-computing
distributed
parallel
software-engineering
software engineering, artificial intelligence, distributed, parallel, and cluster computing
This document is indexed with metadata only — full text is not available in the archive for this record.
Open the official source ↗
Related documents
RPMem: Learning Long-Term Recurrent Parametric Memory Across Sessions for LLM Agents
#1052293
Are Human-Aligned Models Models of Humans? A Turing-Test Gap in Preference Alignment
#1052296
ScholarStack: Layered Research Asset Orchestration and Cross-Task Reuse for Scientific Agents
#1052298
Testing, not presuming, adequacy: calibrating generative social simulators against emergent network structure
#1052301
Record
· ID 986277
Retrieved via
Conceptio
— every document is proof-bundled with source, license, and retrieval metadata.