Author

Toktam Mahmoodi

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Sep 2026

A Generative Digital Twin Framework for Low-Overhead Multi-Agent Device Scheduling in Wireless Federated Learning

Future 6G networks will rely on large numbers of heterogeneous intelligent agents that must coordinate under dynamic wireless conditions. Multi-agent reinforcement learning (MARL) is a promising tool for such coordination, but its training often requires frequent state collection from real devices, causing substantial...

Jing-Xin Li, Xiao-Lan Liu, Toktam Mahmoodi · IEEE International Symposium... · 0 citations

#artificial intelligence Preprint Sep 2026

FLoKD: Adaptive Knowledge Distillation for Federated Low-Rank LLM over Wireless Networks

Large language models (LLMs) have demonstrated strong capabilities across a wide range of natural language processing tasks. However, conventional fine-tuning typically relies on centralized data collection, bringing in privacy concerns. Federated learning (FL) enables collaborative LLM fine-tuning without sharing raw...

Xin-Lu Zhang, Na Yan, Yang Su et al. · 0 citations