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2020 – today
- 2025
[i6]Kasra Borazjani, Payam Abdisarabshali, Naji Khosravan, Seyyedali Hosseinalipour:
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions. CoRR abs/2503.14553 (2025)- [i5]Kasra Borazjani, Payam Abdisarabshali, Fardis Nadimi, Naji Khosravan, Minghui Liwang, Xianbin Wang, Yiguang Hong, Seyyedali Hosseinalipour:
Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration. CoRR abs/2505.11191 (2025) - [i4]Fardis Nadimi, Payam Abdisarabshali, Kasra Borazjani, Jacob Chakareski, Seyyedali Hosseinalipour:
Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR. CoRR abs/2506.05683 (2025) - 2024
- [j1]Payam Abdisarabshali
, Minghui Liwang, Amir Rajabzadeh, Mahmood Ahmadi, Seyyedali Hosseinalipour:
Decomposition Theory Meets Reliability Analysis: Processing of Computation-Intensive Dependent Tasks Over Vehicular Clouds With Dynamic Resources. IEEE/ACM Trans. Netw. 32(1): 475-490 (2024) - [i3]Payam Abdisarabshali, Kwang Taik Kim, Michael Langberg, Weifeng Su, Seyyedali Hosseinalipour:
Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection. CoRR abs/2404.06324 (2024) - 2023
- [i2]Payam Abdisarabshali, Nicholas Accurso, Filippo Malandra, Weifeng Su, Seyyedali Hosseinalipour:
Synergies Between Federated Learning and O-RAN: Towards an Elastic Virtualized Architecture for Multiple Distributed Machine Learning Services. CoRR abs/2305.02109 (2023) - 2022
- [i1]Payam Abdisarabshali, Seyyedali Hosseinalipour, Minghui Liwang, Amir Rajabzadeh, Mahmood Ahmadi:
Decomposition Theory Meets Reliability Analysis: Processing of Computation-Intensive Dependent Tasks over Vehicular Clouds with Dynamic Resources. CoRR abs/2210.07337 (2022)
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