Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Decentralized Differentially Private Power Method
Andrew Campbell, Anna Scaglione, Sean Peisert
We propose a novel Decentralized Differentially Private Power Method (D-DP-PM) for performing Principal Component Analysis (PCA) in networked multi-agent settings. Unlike conventio…
cs.LG2023
Compressed and Sparse Models for Non-Convex Decentralized Learning
Andrew Campbell, Hang Liu, Leah Woldemariam +1
Recent research highlights frequent model communication as a significant bottleneck to the efficiency of decentralized machine learning (ML), especially for large-scale and over-pa…