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Blaise Aguera y Arcas
Researcher at Google
Publications - 99
Citations - 12926
Blaise Aguera y Arcas is an academic researcher from Google. The author has contributed to research in topics: Pixel & Computer science. The author has an hindex of 28, co-authored 94 publications receiving 7990 citations. Previous affiliations of Blaise Aguera y Arcas include Princeton University & Microsoft.
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Communication-Efficient Learning of Deep Networks from Decentralized Data
TL;DR: This work presents a practical method for the federated learning of deep networks based on iterative model averaging, and conducts an extensive empirical evaluation, considering five different model architectures and four datasets.
Proceedings Article
Communication-Efficient Learning of Deep Networks from Decentralized Data
TL;DR: In this paper, the authors presented a decentralized approach for federated learning of deep networks based on iterative model averaging, and conduct an extensive empirical evaluation, considering five different model architectures and four datasets.
Posted Content
Federated Learning of Deep Networks using Model Averaging
TL;DR: This work presents a practical method for the federated learning of deep networks that proves robust to the unbalanced and non-IID data distributions that naturally arise, and allows high-quality models to be trained in relatively few rounds of communication.
Journal ArticleDOI
Response regulator output in bacterial chemotaxis
Uri Alon,Laura Camarena,Michael G. Surette,Blaise Aguera y Arcas,Yi Liu,Stanislas Leibler,Jeffry B. Stock +6 more
TL;DR: The result indicates that the high sensitivity of the chemotaxis system is not derived from highly cooperative interactions between P‐CheY and the flagellar motor, but rather depends on nonlinear effects within the Chemotaxis signal transduction network.
Journal ArticleDOI
Four ethical priorities for neurotechnologies and AI
Rafael Yuste,Sara Goering,Blaise Aguera y Arcas,Guo-Qiang Bi,Jose M. Carmena,Adrian Carter,Joseph J. Fins,Phoebe Friesen,Jack L. Gallant,Jane E. Huggins,Judy Illes,Philipp Kellmeyer,Eran Klein,Adam H. Marblestone,Christine Mitchell,Erik Parens,Michelle Pham,Alan Rubel,Norihiro Sadato,Laura Specker Sullivan,Mina Teicher,David Wasserman,Anna Wexler,Meredith Whittaker,Jonathan R. Wolpaw +24 more
TL;DR: Artificial intelligence and brain–computer interfaces must respect and preserve people's privacy, identity, agency and equality, say Rafael Yuste, Sara Goering and colleagues.