Kasra Borazjani

According to our database, Kasra Borazjani authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures.

Payam Abdisarabshali, Fardis Nadimi, Kasra Borazjani, Naji Khosravan, Minghui Liwang, Wei Ni, Dusit Niyato, Michael Langberg, Seyyedali Hosseinalipour

IEEE Commun. Mag., April, 2026

Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration.

Kasra Borazjani, Payam Abdisarabshali, Fardis Nadimi, Naji Khosravan, Minghui Liwang, Xianbin Wang, Yiguang Hong, Seyyedali Hosseinalipour

IEEE Internet Things Mag., January, 2026

2025

Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR.

Fardis Nadimi, Payam Abdisarabshali, Kasra Borazjani, Jacob Chakareski, Seyyedali Hosseinalipour

CoRR, June, 2025

Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions.

Kasra Borazjani, Payam Abdisarabshali, Naji Khosravan, Seyyedali Hosseinalipour

CoRR, March, 2025

Multi-Modal Federated Learning for Cancer Staging Over Non-IID Datasets With Unbalanced Modalities.

Kasra Borazjani, Naji Khosravan, Leslie Ying, Seyyedali Hosseinalipour

IEEE Trans. Medical Imaging, January, 2025

Bringing multi-modal multi-task federated foundation models to education domain: prospects and challenges.

Kasra Borazjani, Naji Khosravan, Rajeev Sahay, Bita Akram, Seyyedali Hosseinalipour

Frontiers Artif. Intell., 2025

2022

Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features.

Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Azizeh Akbari, Kasra Borazjani, Kasra Mojallal, Dariush Askari, Ghasem Hajianfar, Seyed Masoud Rezaeijo, Mohammad Mahdi Ghaemi, Amir Hossein Nabizadeh, Arman Rahmim

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022