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Home/Authors/Brighten Godfrey

Brighten Godfrey

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

ML×2Distributed×1AI×1Crypto×1

Frequent co-authors

Gangmuk Lim1×
Wanyu Zhao1×
Jiaxin Shan1×
Le Xu1×
Liguang Xie1×
Zhi Chen1×

Research Timeline

2026
CCLab: Adversarial Testing of Learning- and Non-Learning-Based Congestion Controllers

The paper introduces CCLab, an adversarial testing framework, to systematically evaluate the robustness of both learning-based and traditional congestion controllers, finding that learning-based controllers are generally more robust and can be further improved using adversarial traces.

Lodestar: An Online-Learning LLM Inference Router

Lodestar is a novel online learning-based request routing system that significantly improves LLM inference efficiency by dynamically assigning incoming requests to the optimal GPU instance to minimize latency.

Highlighted terms show continued research focus across papers

Papers

cs.DCcs.AIcs.LGRecentMay 31, 2026

Lodestar: An Online-Learning LLM Inference Router

Gangmuk Lim, Wanyu Zhao, Brighten Godfrey, Jiaxin Shan +2 more

Lodestar is a novel online learning-based request routing system that significantly improves LLM inference efficiency by dynamically assigning incoming requests to the optimal GPU instance to minimize…

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cs.CRcs.LGRecentMay 21, 2026

CCLab: Adversarial Testing of Learning- and Non-Learning-Based Congestion Controllers

Zhi Chen, Shehab Sarar Ahmed, Chenkai Wang, Brighten Godfrey +1 more

The paper introduces CCLab, an adversarial testing framework, to systematically evaluate the robustness of both learning-based and traditional congestion controllers, finding that learning-based contr…

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