129 citations · 177 across the 7 of their papers we have counts for
3 papers · 1 filter
Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures
Alireza Amirshahi, Giovanni Ansaloni, David Atienza
The increasing complexity of transformer models in artificial intelligence expands their computational costs, memory usage, and energy consumption. Hardware acceleration tackles th…
Predicting Survey Response with Quotation-based Modeling: A Case Study on Favorability towards the United States
Alireza Amirshahi, Nicolas Kirsch, Jonathan Reymond +1
The acquisition of survey responses is a crucial component in conducting research aimed at comprehending public opinion. However, survey data collection can be arduous, time-consum…
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties
Jingwei Sun, Zhixu Du, Anna Dai +4
Vertical federated learning (VFL) enables a service provider (i.e., active party) who owns labeled features to collaborate with passive parties who possess auxiliary features to im…