
Mingqing Chen
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FEDAQT: ACCURATE QUANTIZED TRAINING WITH FEDERATED LEARNING
Renkun Ni
Yonghui Xiao
Oleg Rybakov
Phoenix Meadowlark
Tom Goldstein
2024
Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions
Chen Zhu
Jakub Konečný
Tom Goldstein
International Conference on Learning Representations (2022) (to appear)
Online Model Compression for Federated Learning with Large Models
Tien-Ju Yang
Yonghui (Yohu) Xiao
Giovanni Motta
(2022)
Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical {RNN} Model
You-Chi Cheng
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022, {IEEE}, pp. 6097-6101