Payam Abdisarabshali

According to our database, Payam Abdisarabshali authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

Graph Theory Meets Federated Learning over Satellite Constellations: Spanning Aggregations, Network Formation, and Performance Optimization.

Fardis Nadimi, Payam Abdisarabshali, Jacob Chakareski, Nicholas Mastronarde, Seyyedali Hosseinalipour

CoRR, September, 2025

From Federated Learning to X-Learning: Breaking the Barriers of Decentrality Through Random Walks.

Allan Salihovic, Payam Abdisarabshali, Michael Langberg, Seyyedali Hosseinalipour

CoRR, September, 2025

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

CoRR, September, 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

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

CoRR, May, 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

2024

Decomposition Theory Meets Reliability Analysis: Processing of Computation-Intensive Dependent Tasks Over Vehicular Clouds With Dynamic Resources.

Payam Abdisarabshali, Minghui Liwang, Amir Rajabzadeh, Mahmood Ahmadi, Seyyedali Hosseinalipour

IEEE/ACM Trans. Netw., February, 2024

Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection.

Payam Abdisarabshali, Kwang Taik Kim, Michael Langberg, Weifeng Su, Seyyedali Hosseinalipour

CoRR, 2024

2023

Synergies Between Federated Learning and O-RAN: Towards an Elastic Virtualized Architecture for Multiple Distributed Machine Learning Services.

Payam Abdisarabshali, Nicholas Accurso, Filippo Malandra, Weifeng Su, Seyyedali Hosseinalipour

CoRR, 2023