Blaise Agüera y Arcas

Author

Also Known As

Arcas, Blaise Aguera y, Arcas, Blaise Agúera y, Arcas, Blaise Agüera y, Blaise Aguera Y Arcas, Blaise Aguera y Arcas, Blaise Aguera y. Arcas, Blaise Agüera y Arcas

Publications

12.1K

Citations

H-Index

105

Concepts

All Affiliations

Google (United States)Princeton University University of Washington University of Science and Technology of China University of Maryland, College Park

About

Blaise Agüera y Arcas is an author at Google (United States) specializing in engineering, computer science, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	11	6.9K
2	Language Studies	2	2	397
3	Arts	1	1	42
4	Education	1	1	42
5	Management	1	1	21

Blaise Agüera y Arcas

Publications

11.6K

Citations

H-Index

Page 1

	Year	Citations
Communication-Efficient Learning of Deep Networks from Decentralized Data H. Brendan McMahan, Eider Moore, Daniel Ramage, arXiv (Cornell University) Modern Mobile DevicesDecentralized Machine LearningMachine LearningData ScienceEngineering	2016	5.2K
Large language models encode clinical knowledge Karan Singhal, Shekoofeh Azizi, Tao Tu, Nature	2023	2.6K
Federated Learning of Deep Networks using Model Averaging H. Brendan McMahan, Eider Moore, Daniel Ramage, arXiv (Cornell University) Artificial IntelligenceModern Mobile DevicesEngineeringMachine LearningData Science	2016	984
Four ethical priorities for neurotechnologies and AI Rafael Yuste, Sara Goering, Blaise Agüera y Arcas, Nature Cognitive ScienceResponsible AiResponsible TechnologyEthical PrioritiesBioethics	2017	556
Toward expert-level medical question answering with large language models K. K. Singhal, Tao Tu, Juraj Gottweis, Nature Medicine	2025	480
Towards Expert-Level Medical Question Answering with Large Language Models Karan Singhal, Tao Tu, Juraj Gottweis, arXiv (Cornell University)	2023	332
Large Language Models Encode Clinical Knowledge Karan Singhal, Shekoofeh Azizi, Tao Tu, arXiv (Cornell University) Multimedqa Multiple-choice DatasetLlm Fine-tuningEngineeringMultilingual PretrainingLarge Language Model	2022	256
Recommendations for Responsible Development and Application of Neurotechnologies Sara Goering, Eran Klein, Laura Specker Sullivan, Neuroethics NeuroinformaticsNeurological FunctionNeurobiologyResponsible DevelopmentNeurology	2021	196
A Field Guide to Federated Optimization Jianyu Wang, Zachary Charles, Zheng Xu, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningDistributed AlgorithmsFederated Structure	2021	167
Privacy-first health research with federated learning Adam Sadilek, Luyang Liu, Dung T. Nguyen, npj Digital Medicine	2021	167

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