Jae Hun Ro

Jae Hun Ro

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Efficient Language Model Architectures for Differentially Private Federated Learning
Jae Ro
Srinadh Bhojanapalli
Zheng Xu
Yanxiang Zhang
Ananda Theertha Suresh
Privacy Regulation and Protection in Machine Learning Workshop at ICLR 2024 (2024) (to appear)
Transformer-based Models of Text Normalization for Speech Applications
Jae Hun Ro
Felix Stahlberg
Ke Wu
Shankar Kumar
arXiv cs.LG (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)
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data
Yishay Mansour
Mehryar Mohri
Jae Ro
Ananda Theertha Suresh
Ke Wu
aistats (2021)
FedJAX: Federated learning simulation with JAX
Jae Hun Ro
Ananda Theertha Suresh
Ke Wu
1st NeurIPS Workshop on New Frontiers in Federated Learning (NFFL 2021) (2021)
Communication-Efficient Agnostic Federated Averaging
Jae Hun Ro
Mingqing Chen
Rajiv Mathews
Mehryar Mohri
Ananda Theertha Suresh
Proc. Interspeech 2021
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data
Ananda Theertha Suresh
Jae Hun Ro
Ke Wu
Mehryar Mohri
Yishay Mansour
AISTATS (2021)
Semi-supervised URL Segmentation with Recurrent Neural Networks Pre-trained on Knowledge Graph Entities
Hao Zhang
Jae Hun Ro
Richard William Sproat
Proc. of COLING 2020
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