Scholar

Lei Wang

Google Scholar ID: 8SV9FTkAAAAJ

Ph.D. Candidate, University of Florida

Federated LearningPEFTLLMsMachine LearningQuantum Networks

Citations & Impact

All-time

Citations

124

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i10-index

Publications

Co-authors

list available

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Publications

13 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

Two papers accepted at NeurIPS 2025: 'Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning' and 'FedEL: Federated Elastic Learning for Heterogeneous Devices'
One paper accepted at ICCV 2025: 'LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement'
One paper accepted at NeurIPS 2024: 'Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains'
Published at ICDCS 2024: 'Adaptive User-Centric Entanglement Routing in Quantum Data Networks'
Published at ACM e-Energy 2024: 'CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers' (Best Paper Nomination)
Published at ICASSP 2024: 'Federated Learning with Instance-Dependent Noisy Label'
IEEE/ACM Transactions on Networking (TON), 2025: 'Quantum Entanglement Path Selection and Qubit Allocation via Adversarial Group Neural Bandits'
IEEE Transactions on Signal Processing (TSP), 2024: 'Accelerating Hybrid Federated Learning Convergence Under Partial Participation'
Multiple preprints on federated fine-tuning, multimodal federated learning, and surveys on parameter-efficient fine-tuning

Co-authors

7 total