Area of research
Artificial Intelligence · Electrical and Electronic Engineering
Research interest
Research interests include Computer science, Edge computing, Artificial intelligence, Telecommunications, Enhanced Data Rates for GSM Evolution, and Latency (audio).
Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
Efficient Parallel Split Learning Over Resource-Constrained Wireless Edge Networks
FedSN: A Federated Learning Framework Over Heterogeneous LEO Satellite Networks