Rajiv Mathews

Distinguished Software Engineer, Google

Joined

May 2021

Names

Rajiv Mathews (Preferred)

Emails

****@google.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Distinguished Software Engineer

Google (google.com)

2007 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Eliciting Behaviors in Multi-Turn Conversations
Jing Huang, Shujian Zhang, Lun Wang, Andrew Hard, Rajiv Mathews, John Wheatley Lambert
- Submitted to ICLR 2026
- Readers: Everyone
Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process
Zhenyu Zhang, Shujian Zhang, John Wheatley Lambert, Wenxuan Zhou, Zhangyang Wang, Mingqing Chen, Andrew Hard, Rajiv Mathews, Lun Wang
- Submitted to ICLR 2026
- Readers: Everyone
Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints
Virat Shejwalkar, Arun Ganesh, Rajiv Mathews, Om Thakkar, Abhradeep Guha Thakurta
- 23 Jan 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints
Virat Shejwalkar, Arun Ganesh, Rajiv Mathews, Om Thakkar, Abhradeep Guha Thakurta
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
Mixed Federated Learning: Joint Decentralized and Centralized Learning
Sean Augenstein, Andrew Hard, Lin Ning, Karan Singhal, Satyen Kale, Kurt Partridge, Rajiv Mathews
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
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
- Published: 27 Mar 2022, Last Modified: 05 May 2023
- FL4NLP@ACL2022
- Readers: Everyone
Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift
Sean Augenstein, Andrew Hard, Kurt Partridge, Rajiv Mathews
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Workshop DistShift Poster
- Readers: Everyone
Public Data-Assisted Mirror Descent for Private Model Training
Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith Menon Suriyakumar, Om Thakkar, Abhradeep Guha Thakurta
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Revealing and Protecting Labels in Distributed Training
Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Sang Chin, Françoise Beaufays
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone

Co-Authors

View all 31 co-authors