21 citations · 21 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 21 cited
Offsite-Tuning: Transfer Learning without Full Model
Guangxuan Xiao, Ji Lin, Song Han
Transfer learning is important for foundation models to adapt to downstream tasks. However, many foundation models are proprietary, so users must share their data with model owners…
cs.LG2021
AET-SGD: Asynchronous Event-triggered Stochastic Gradient Descent
Nhuong Nguyen, Song Han
Communication cost is the main bottleneck for the design of effective distributed learning algorithms. Recently, event-triggered techniques have been proposed to reduce the exchang…