Payam Abdisarabshali
Scholar

Payam Abdisarabshali

Google Scholar ID: ksQpR00AAAAJ
PhD Candidate, The state University of New York at Buffalo
Machine LearningDistributed LearningFederated LearningMathematic
Google Scholar↗
Citations & Impact
All-time
Citations
42
 
H-index
5
 
i10-index
1
 
Publications
9
 
Co-authors
5
list available
Contact
No contact links provided.
Publications
8 items
Graph Theory Meets Federated Learning over Satellite Constellations: Spanning Aggregations, Network Formation, and Performance Optimization
2025
Cited
0
Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures
2025
Cited
0
From Federated Learning to $mathbb{X}$-Learning: Breaking the Barriers of Decentrality Through Random Walks
2025
Cited
0
Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR
2025
Cited
0
Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration
2025
Cited
0
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions
2025
Cited
0
Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection
arXiv.org · 2024
Cited
3
Synergies Between Federated Learning and O-RAN: Towards an Elastic Architecture for Multiple Distributed Machine Learning Services
2023
Cited
0
Resume (English only)
Co-authors
5 total
Co-author 1
Co-author 1
Kasra Borazjani
Kasra Borazjani
PhD Student - University at Buffalo
Naji Khosravan
Naji Khosravan
Senior Applied Research Manager - Adobe
Michael Langberg
Michael Langberg
University at Buffalo
Weifeng Su
Weifeng Su
State University of New York (SUNY) at Buffalo