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Learning from straggler clients in federated learning
How well do existing federated learning algorithms learn from client devices that return model updates with a significant time delay?
UserLibri: A Dataset for ASR Personalization Using Only Text
We experiment on a user-clustered LibriSpeech corpus, supplemented with personalized text-only data for each user from Project Gutenberg.
Scaling Language Model Size in Cross-Device Federated Learning
Most studies in cross-device federated learning focus on small models, due to the server-client communication and on-device computation bottlenecks.
The Labeled Segmentation of Printed Books
We introduce the task of book structure labeling: segmenting and assigning a fixed category (such as Table of Contents, Preface, Index) to the document structure of printed books.
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