23 citations · 43 across the 7 of their papers we have counts for
8 papers
PBM-VFL: Vertical Federated Learning with Feature and Sample Privacy
Linh Tran, Timothy Castiglia, Stacy Patterson +1
We present Poisson Binomial Mechanism Vertical Federated Learning (PBM-VFL), a communication-efficient Vertical Federated Learning algorithm with Differential Privacy guarantees. P…
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
Timothy Castiglia, Yi Zhou, Shiqiang Wang +3
We propose LESS-VFL, a communication-efficient feature selection method for distributed systems with vertically partitioned data. We consider a system of a server and several parti…
Flexible Vertical Federated Learning with Heterogeneous Parties
Timothy Castiglia, Shiqiang Wang, Stacy Patterson
We propose Flexible Vertical Federated Learning (Flex-VFL), a distributed machine algorithm that trains a smooth, non-convex function in a distributed system with vertically partit…
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data
Timothy Castiglia, Anirban Das, Shiqiang Wang +1
We propose Compressed Vertical Federated Learning (C-VFL) for communication-efficient training on vertically partitioned data. In C-VFL, a server and multiple parties collaborative…
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning
Anirban Das, Timothy Castiglia, Shiqiang Wang +1
We consider federated learning in tiered communication networks. Our network model consists of a set of silos, each holding a vertical partition of the data. Each silo contains a h…
Multi-Level Local SGD for Heterogeneous Hierarchical Networks
Timothy Castiglia, Anirban Das, Stacy Patterson
We propose Multi-Level Local SGD, a distributed gradient method for learning a smooth, non-convex objective in a heterogeneous multi-level network. Our network model consists of a…
A Hierarchical Model for Fast Distributed Consensus in Dynamic Networks
Timothy Castiglia, Colin Goldberg, Stacy Patterson
We present two new consensus algorithms for dynamic networks. The first, Fast Raft, is a variation on the Raft consensus algorithm that reduces the number of message rounds in typi…
Shifting Opinions in a Social Network Through Leader Selection
Yuhao Yi, Timothy Castiglia, Stacy Patterson
We study the French-DeGroot opinion dynamics in a social network with two polarizing parties. We consider a network in which the leaders of one party are given, and we pose the pro…