Payam Abdisarabshali
Orcid: 0000-0002-3743-8247
According to our database1,
Payam Abdisarabshali authored at least 10 papers
between 2023 and 2026.
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Bibliography
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.
IEEE Commun. Mag., April, 2026
Elastic Federated Learning Over Open Radio Access Network (O-RAN) for Concurrent Execution of Multiple Distributed Learning Tasks.
IEEE Internet Things Mag., March, 2026
Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration.
IEEE Internet Things Mag., January, 2026
Dynamic D2D-Assisted Federated Learning Over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection.
IEEE Trans. Netw., 2026
2025
Graph Theory Meets Federated Learning over Satellite Constellations: Spanning Aggregations, Network Formation, and Performance Optimization.
CoRR, September, 2025
From Federated Learning to X-Learning: Breaking the Barriers of Decentrality Through Random Walks.
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.
CoRR, June, 2025
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions.
CoRR, March, 2025
2024
Decomposition Theory Meets Reliability Analysis: Processing of Computation-Intensive Dependent Tasks Over Vehicular Clouds With Dynamic Resources.
IEEE/ACM Trans. Netw., February, 2024
2023
Synergies Between Federated Learning and O-RAN: Towards an Elastic Virtualized Architecture for Multiple Distributed Machine Learning Services.
CoRR, 2023