160 citations · 618 across the 56 of their papers we have counts for
4 papers · 1 filter
Low-Rank-Based Approximate Computation with Memristors
Binyu Lu, Matthias Frey, Stark Draper +1
Memristor crossbars enable vector-matrix multiplication (VMM), and are promising for low-power applications. However, it can be difficult to write the memristor conductance values…
Controlled privacy leakage propagation throughout overlapping grouped learning
Shahrzad Kiani, Franziska Boenisch, Stark C. Draper
Federated Learning (FL) is the standard protocol for collaborative learning. In FL, multiple workers jointly train a shared model. They exchange model updates calculated on their d…
Differentially Private Federated Learning With Time-Adaptive Privacy Spending
Shahrzad Kiani, Nupur Kulkarni, Adam Dziedzic +2
Federated learning (FL) with differential privacy (DP) provides a framework for collaborative machine learning, enabling clients to train a shared model while adhering to strict pr…
Quasicyclic Principal Component Analysis
Susanna E. Rumsey, Stark C. Draper, Frank R. Kschischang
We present quasicyclic principal component analysis (QPCA), a generalization of principal component analysis (PCA), that determines an optimized basis for a dataset in terms of fam…