Rajiv Mathews
14 papers · 2019–2026 · 8 venues · across top CS/AI venues
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federated learning
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keyword spotting
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communication efficiency
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cross-device federated learning
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speech recognition
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knowledge distillation
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data augmentation
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gradient descent
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instruction following
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model distillation
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automatic speech recognition
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linear regression
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generative model
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privacy preservation
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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
Detecting Unintended Memorization in Language-Model-Fused ASR
Interspeech 2022
Extracting Targeted Training Data from ASR Models, and How to Mitigate It
Interspeech 2022
Production federated keyword spotting via distillation, filtering, and joint federated-centralized training
Interspeech 2022
Public Data-Assisted Mirror Descent for Private Model Training
ICML 2022
Scaling Language Model Size in Cross-Device Federated Learning
ACL 2022
UserLibri: A Dataset for ASR Personalization Using Only Text
Interspeech 2022
Communication-Efficient Agnostic Federated Averaging
Interspeech 2021
Revealing and Protecting Labels in Distributed Training
NeurIPS 2021
Understanding Unintended Memorization in Language Models Under Federated Learning
NAACL 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