Federated Learning of Deep Neural Decision Forests. - Anders Sjöberg; Emil Gustavsson; Ashok Chaitanya Koppisetty; Mats Jirstrand (LOD, 2019)

DRIVEN: A framework for efficient Data Retrieval and clustering in Vehicular Networks. - Bastian Havers; Romaric Duvignau; Hannaneh Najdataei; Vincenzo Gulisano; Marina Papatriantafilou; Ashok Chaitanya Koppisetty (Future Gener. Comput. Syst., 2020)

AF-DNDF: Asynchronous Federated Learning of Deep Neural Decision Forests. - Hongyi Zhang; Jan Bosch; Helena Holmström Olsson; Ashok Chaitanya Koppisetty (SEAA, 2021)

Comparing Input Prioritization Techniques for Testing Deep Learning Algorithms. - Vasilii Mosin; Miroslaw Staron; Darko Durisic; Francisco Gomes de Oliveira Neto; Sushant Kumar Pandey; Ashok Chaitanya Koppisetty (SEAA, 2022)

Exploring Image Similarity-Based Splitting Techniques in Automotive Perception Systems. - Md. Abu Ahammed Babu; Sushant Kumar Pandey; Darko Durisic; Ashok Chaitanya Koppisetty; Miroslaw Staron (QUATIC, 2024)

Impact of Image Data Splitting on the Performance of Automotive Perception Systems. - Md. Abu Ahammed Babu; Sushant Kumar Pandey; Darko Durisic; Ashok Chaitanya Koppisetty; Miroslaw Staron (SWQD, 2024)

Improving Image Data Leakage Detection in Automotive Software. - Md. Abu Ahammed Babu; Sushant Kumar Pandey; Darko Durisic; Ashok Chaitanya Koppisetty; Miroslaw Staron (CoRR, 2024)

D-LeDe: A Data Leakage Detection Method for Automotive Perception Systems. - Md. Abu Ahammed Babu; Sushant Kumar Pandey; Darko Durisic; Ashok Chaitanya Koppisetty; Miroslaw Staron (VEHITS, 2025)