Blaise Agüera y Arcas
- Eider Moore
- Daniel Ramage
- Seth Hampson
- H. Brendan McMahan
- H. Brendan McMahan
- Karan Singhal
- Vivek Natarajan
- Shekoofeh Azizi
- Tao Tu
- S. Sara Mahdavi
- Jason Lee
- Hyung Won Chung
- Nathan Scales
- Ajay Kumar Tanwani
- Heather Cole-Lewis
- Stephen Pfohl
- Perry W. Payne
- Martin Seneviratne
- Paul Gamble
- Christopher Kelly
- Abubakr Babiker
- Nathanael Schärli
- Aakanksha Chowdhery
- P. Mansfield
Blaise Agüera y Arcas
collaborator
line weight = collaboration weight
Works in this corpus
| Title | Position | Year | Cited |
|---|---|---|---|
| Communication-Efficient Learning of Deep Networks from Decentralized\n Data | last | 2016 | 5,645 |
| Communication-Efficient Learning of Deep Networks from Decentralized Data | last | 2016 | 5,190 |
| Large language models encode clinical knowledge | middle | 2023 | 3,721 |
Is this one person?
This record carries a person-claimed ORCID and no signal that it mixes two people.
- supportsAn ORCID is claimed by a person, not inferred, so it is the only identity assertion here that a human made.
- supports2 distinct name form(s) across this row's works, counting a spelled-out given name and its initial as one form.
- supportsAt most 1 distinct institution(s) inside any five-year window, which is a normal career.
- supports67% of this row's works sit in its single largest field.
- neutralConfidence is judged on the 3 work(s) this corpus holds, not on the author's whole output. A single-work row carries little evidence either way.