Complexity and Scale in AI-Assisted Workflow Management: A Federated Learning Case Study

arXiv:2606.18425 · cs.SE, cs.AI, cs.DC · Submitted 2026-06-16 · Read on arXiv

cs.SE, cs.AI, cs.DC

Submitted: 2026-06-16

Updated: 2026-09-08

Code: https://github.com/pegasus-isi/claude-plugin-marketplace

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Federated Learning — 26× in this paper · explained in 14 episodes
• Accuracy — 10× in this paper · explained in 1 episode
• Aggregation — 6× in this paper · explained in 1 episode
• Provenance — 5× in this paper · explained in 3 episodes
• Model Context Protocol — 4× in this paper
• Model Context Protocol (MCP) — 4× in this paper · explained in 8 episodes
• Adam — 3× in this paper · explained in 2 episodes
• F1 Score — 3× in this paper · explained in 3 episodes
• Federated Learning (FL) — 3× in this paper · explained in 7 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Data Heterogeneity — 2× in this paper · explained in 3 episodes
• Iterative Refinement — 2× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Pegasus Workflow Management System — 2× in this paper
• Agentic AI — 1× in this paper · explained in 1 episode
• Agentic Approaches — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Structured Prompting — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• FlowMind: Automatic Workflow Generation with LLMs
• AFlow: Automating Agentic Workflow Generation
• Spec-Driven Development:From Code to Contract in the Age of AI Coding Assistants
• From Research Question to Scientific Workflow: Leveraging Agentic AI for Science Automation

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