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20232026
most citedFedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models

3 citations · 7 across the 9 of their papers we have counts for

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2 papers · 1 filter

cs.LG2026

AceGRPO: Adaptive Curriculum Enhanced Group Relative Policy Optimization for Autonomous Machine Learning Engineering

Yuzhu Cai, Zexi Liu, Xinyu Zhu +3

Autonomous Machine Learning Engineering (MLE) requires agents to perform sustained, iterative optimization over long horizons. While recent LLM-based agents show promise, current p…

cs.LG2023★ 1 cited

Federated Learning Empowered by Generative Content

Rui Ye, Xinyu Zhu, Jingyi Chai +2

Federated learning (FL) enables leveraging distributed private data for model training in a privacy-preserving way. However, data heterogeneity significantly limits the performance…