10 citations · 12 across the 3 of their papers we have counts for
4 papers
Efficient Decompositional Rule Extraction for Deep Neural Networks
Mateo Espinosa Zarlenga, Zohreh Shams, Mateja Jamnik
In recent years, there has been significant work on increasing both interpretability and debuggability of a Deep Neural Network (DNN) by extracting a rule-based model that approxim…
HiveMind: A Scalable and Serverless Coordination Control Platform for UAV Swarms
Justin Hu, Ariana Bruno, Brian Ritchken +4
Swarms of autonomous devices are increasing in ubiquity and size. There are two main trains of thought for controlling devices in such swarms; centralized and distributed control.…
An Open-Source Benchmark Suite for Cloud and IoT Microservices
Yu Gan, Yanqi Zhang, Dailun Cheng +21
Cloud services have recently started undergoing a major shift from monolithic applications, to graphs of hundreds of loosely-coupled microservices. Microservices fundamentally chan…
To Centralize or Not to Centralize: A Tale of Swarm Coordination
Justin Hu, Ariana Bruno, Drew Zagieboylo +7
Large swarms of autonomous devices are increasing in size and importance. When it comes to controlling the devices of large-scale swarms there are two main lines of thought. Centra…