Scholar
Peter Kairouz
Google Scholar ID: m8NUgw0AAAAJ
Research Scientist, Google
Citations & Impact
Citations
17,589
H-index
39
i10-index
78
Publications
20
Co-authors
15
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - “Advances and Open Problems in Federated Learning”
- - “Generative Models for Effective ML on Private, Decentralized Datasets,” ICLR 2020
- - “Federated Heavy Hitters Discovery with Differential Privacy,” AISTATS 2020
- - “Rumor Source Obfuscation on Irregular Trees,” SIGMETRICS 2016
- - “Spy vs. Spy: Rumor Source Obfuscation,” SIGMETRICS 2015 (Best Paper Award)
- - Patents: Not provided
- - Projects:
- - Lead organizer for Google's “Workshop and Federated Learning and Analytics”
- - Involved in multiple research projects such as “Context-Aware Local Differential Privacy,” “Generative Adversarial Privacy,” “Sparse Combinatorial Group Testing,” etc.
- - Awards:
- - 2016 ACM SIGMETRICS Best Paper Award
- - 2015 Qualcomm Innovation Fellowship Finalist Award
- - 2012 Qualcomm Roberto Padovani Scholarship
- - 2016 Harold L. Olesen Award for Excellence in Undergraduate Teaching from UIUC
Research Experience
- - Google AI, Google: Federated Learning and Differential Privacy, August 2018 - Present
- - Information Systems Laboratory, Stanford University: On-device Intelligence and Context-Aware Privacy, September 2016 - August 2018
- - Coordinated Science Laboratory, University of Illinois: Metadata Privacy and Privacy-Preserving Learning, January 2013 - August 2016
- - Google Research, Google Inc.: Privacy Preserving Machine Learning Algorithms, May 2015 - August 2015
- - Qualcomm Research, Qualcomm Inc.: Interference-Aware Rate Control for Small Cells, May 2013 - September 2013
- - Coordinated Science Laboratory, University of Illinois: Multi-Input Multi-Output Communications over Optical Networks, August 2010 - December 2012
Education
- - Stanford University: Postdoctoral Research Fellow, August 2018
- - University of Illinois at Urbana-Champaign: Ph.D. in Electrical and Computer Engineering, May 2016; M.S. in Applied Mathematics, May 2016; M.S. in Electrical and Computer Engineering, December 2012
- - American University of Beirut: B.E. in Electrical and Computer Engineering, June 2010
Background
- - Research Interests: Federated Learning, Differential Privacy, Distributed Machine Learning
- - Position: Research Scientist at Google, focusing on distributed, privacy-preserving, and robust machine learning
Miscellany
- - Personal Interests: Not provided
