agent/papers/items/2026-2607-01366-auto-fl-research-agentic-search-for-federated-learning-algorithms.md

Paper: Auto-FL-Research: Agentic Search for Federated Learning Algorithms

---

type: paper title: "Auto-FL-Research: Agentic Search for Federated Learning Algorithms" authors: Holger R. Roth, Ziyue Xu, Chester Chen, Daguang Xu, Peter Cnudde, Andrew Feng year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.01366 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-01 updated_at: 2026-07-01 status: queued relevance: high topics:

• agent-evaluation
• coding-agent
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 13 collection_queries: agentic-ai, coding-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: agentic-ai, coding-agent
• inferred topics: agent-evaluation, coding-agent, workflow-agent
• arXiv categories: cs.AI
• collection score: 13

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2607.01366