Ali Beikmohammadi
Scholar

Ali Beikmohammadi

Google Scholar ID: BjOSAyoAAAAJ
Phd Researcher, Department of Computer and Systems Sciences, Stockholm University, Sweden
Distributed Machine LearningReinforcement LearningComputer VisionDeep Learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
325
 
H-index
8
 
i10-index
6
 
Publications
20
 
Co-authors
18
list available
Contact
Emailbeikmohammadi@dsv.su.seGitHubOpen ↗LinkedInOpen ↗
Publications
8 items
Personalized Federated Reinforcement Learning via Model-Agnostic Meta-Learning: Convergence of Exact and Hessian-Free Meta-Policy Gradients
2026
Cited
0
User-Assisted Collaborative Distributed Inference for Efficient QoS-Aware Autoscaling
2026
Cited
0
Trust-Aware Topology Learning for Dynamic Decentralized Federated Learning under Adversaries
2026
Cited
0
Brief Announcement: Generative Markov Model for Distributed Computing Systems
2026
Cited
0
PriPG-RL: Privileged Planner-Guided Reinforcement Learning for Partially Observable Systems with Anytime-Feasible MPC
2026
Cited
0
Collaborative Value Function Estimation Under Model Mismatch: A Federated Temporal Difference Analysis
2025
Cited
0
Automatic Fused Multimodal Deep Learning for Plant Identification
arXiv.org · 2024
Cited
0
Parallel Momentum Methods Under Biased Gradient Estimations
IEEE Transactions on Control of Network Systems · 2024
Cited
1
Co-authors
7 total
Sindri Magnússon
Sindri Magnússon
Associate Professor, Stockholm University
Sarit Khirirat
Sarit Khirirat
King Abdullah University of Science and Technology
Ali Ahmadi
Ali Ahmadi
Adjunt Faculty in York University ; Associate Professor in K. N.Toosi University of Technology
Tony Lindgren
Tony Lindgren
Department of Computer and System Sciences
Patrick Hammer
Patrick Hammer
Postdoctoral researcher, Digital Futures at Stockholm University, KTH and RISE
Peter Richtarik
Peter Richtarik
Professor, KAUST
M. Sadegh Talebi
M. Sadegh Talebi
Assistant Professor of Computer Science, University of Copenhagen