Jump to Content

Defining the technology of today and tomorrow.

Philosophy

We strive to create an environment conducive to many different types of research across many different time scales and levels of risk.
Learn more about our Philosophy

Philosophy

People

Our researchers drive advancements in computer science through both fundamental and applied research.
Learn more about our People

People
Research areas

Explore all research areas

Explore all research areas

Foundational ML & Algorithms

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Computing Systems & Quantum AI

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Science, AI & Society

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization
Projects

We regularly open-source projects with the broader research community and apply our developments to Google products.
Learn more about our Projects

Projects

Publications

Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.
Learn more about our Publications

Publications

Resources

We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem.
Learn more about our Resources

Resources
Shaping the future, together.
Collaborate with us

Student programs

Supporting the next generation of researchers through a wide range of programming.
Learn more about our Student programs

Student programs

Faculty programs

Participating in the academic research community through meaningful engagement with university faculty.
Learn more about our Faculty programs

Faculty programs

Conferences & events

Connecting with the broader research community through events is essential for creating progress in every aspect of our work.
Learn more about our Conferences & events

Conferences & events

Collaborate with us
Careers
Blog

Lara McConnaughey

Lara McConnaughey

Research Areas

Natural Language Processing

Authored Publications

Google

Learning from straggler clients in federated learning

Andrew Hard

Antonious Girgis

Ehsan Amid

Lara McConnaughey

Rajiv Mathews

Rohan Anil

Sean Augenstein

Arxiv (2024) (to appear)

UserLibri: A Dataset for ASR Personalization with Only Text

Ehsan Variani

Khe Chai Sim

Kilol Gupta

Lara McConnaughey

Mingqing Chen

Rajiv Mathews

Shefali Garg

Swaroop Ramaswamy

Theresa Breiner

2022

Scaling Language Model Size in Cross-Device Federated Learning

Jae Hun Ro

Theresa Breiner

Lara McConnaughey

Mingqing Chen

Ananda Theertha Suresh

Shankar Kumar

Rajiv Mathews

FL4NLP@ACL2022 (2022) (to appear)

Search on Google Scholar