11 citations · 11 across the 1 of their papers we have counts for
2 papers
cs.DC2026
CommuteProp: Decoupled Training for Communication Bound Split LLM Fine-Tuning
CHEN Ding, LUO Haochen, LIU Chen
Split learning has emerged as a promising paradigm for privacy-preserving LLM fine-tuning, yet its practical deployment is severely hindered by the sequential communication-computa…
cs.CR2018★ 11 cited
FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions
Shaohua Li, Kaiping Xue, Chenkai Ding +4
Machine learning as a service has been widely deployed to utilize deep neural network models to provide prediction services. However, this raises privacy concerns since clients nee…