← Authors

Rajiv Mathews

14 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (7) πŸ—ΊοΈ Taxonomy Completionist (27) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (12) πŸ“› The Namer πŸ’Ž Century Club (12) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (53)

Conferences

INTERSPEECH (6) EACL (2) ACL (1) CONLL (1) ICLR (1) ICML (1) NAACL (1) NIPS (1)

Top co-authors

Swaroop Ramaswamy (6) Mingqing Chen (5) Françoise Beaufays (5) Ehsan Amid (3) Om Dipakbhai Thakkar (3) Andrew Hard (3) Lara McConnaughey (2) Aishanee Shah (2) Sean Augenstein (2) Kurt Partridge (2)

Keywords

federated learning (6) language model (4) keyword spotting (2) communication efficiency (2) cross-device federated learning (2) differential privacy (2) speech recognition (2) knowledge distillation (2) data augmentation (2) gradient descent (1) instruction following (1) model distillation (1) automatic speech recognition (1) linear regression (1) public datum (1) privacy preservation (1) adversarial attack (1) mirror descent (1) distributed training (1) language modeling (1)

Papers

Attacker’s Noise Can Manipulate Your Audio-based LLM in the Real World EACL 2026
We Are What We Repeatedly Do: Improving Long Context Instruction Following EACL 2026
Public Data-Assisted Mirror Descent for Private Model Training ICML 2022
Production federated keyword spotting via distillation, filtering, and joint federated-centralized training INTERSPEECH 2022
Scaling Language Model Size in Cross-Device Federated Learning ACL 2022
UserLibri: A Dataset for ASR Personalization Using Only Text INTERSPEECH 2022
Extracting Targeted Training Data from ASR Models, and How to Mitigate It INTERSPEECH 2022
Detecting Unintended Memorization in Language-Model-Fused ASR INTERSPEECH 2022
Understanding Unintended Memorization in Language Models Under Federated Learning NAACL 2021
Communication-Efficient Agnostic Federated Averaging INTERSPEECH 2021
Revealing and Protecting Labels in Distributed Training NIPS 2021
Generative Models for Effective ML on Private, Decentralized Datasets ICLR 2020
Training Keyword Spotting Models on Non-IID Data with Federated Learning INTERSPEECH 2020
Federated Learning of N-Gram Language Models CONLL 2019