373 citations · 540 across the 30 of their papers we have counts for
40 papers
Predictive Sectorization and Bayesian Optimized Consensus for Admission Control in Autonomous Airspace Operations
Aditya Dhodapkar, Avery Smidt, Aaron Verkleeren +2
Conventional air traffic control divides airspace into specific regions, creating a scaling bottleneck as traffic grows. Choosing how to partition airspace is not straightforward b…
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…
A Sample-Based Algorithm for Approximately Testing -Robustness of a Digraph
Yuhao Yi, Yuan Wang, Xingkang He +2
One of the intensely studied concepts of network robustness is -robustness, which is a network topology property quantified by an integer . It is required by mean subsequence…
A Continuum Approach for Collaborative Task Processing in UAV MEC Networks
Lorson Blair, Carlos A. Varela, Stacy Patterson
Unmanned aerial vehicles (UAVs) are becoming a viable platform for sensing and estimation in a wide variety of applications including disaster response, search and rescue, and secu…
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…