We stand with Ukraine

We stand with Ukraine

Lei Wang

Orcid: 0009-0003-1939-5532

Affiliations:

University of Florida Gainesville, Department of Electrical and Computer Engineering, FL, USA
University of Miami, Department of Electrical and Computer Engineering, Coral Gables, FL, USA (PhD 2024)

According to our database¹, Lei Wang authored at least 15 papers between 2024 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org
on ieeexplore.ieee.org

On csauthors.net:

Bibliography

2026

FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning.

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CoRR, March, 2026

FedALT: Federated Fine-Tuning Through Adaptive Local Training with Rest-of-World LoRA.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

FedEL: Federated Elastic Learning for Heterogeneous Devices.

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CoRR, September, 2025

Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning.

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CoRR, September, 2025

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms.

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CoRR, May, 2025

A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning.

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CoRR, April, 2025

Quantum Entanglement Path Selection and Qubit Allocation via Adversarial Group Neural Bandits.

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IEEE Trans. Netw., 2025

LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Accelerating Hybrid Federated Learning Convergence Under Partial Participation.

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IEEE Trans. Signal Process., 2024

Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learning.

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CoRR, 2024

Computation and Communication Efficient Lightweighting Vertical Federated Learning.

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CoRR, 2024

Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains.

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Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Adaptive User-Centric Entanglement Routing in Quantum Data Networks.

[DOI]

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Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Federated Learning with Instance-Dependent Noisy Label.

[DOI]

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Proceedings of the IEEE International Conference on Acoustics, 2024

CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers✱.

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Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

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