Changsha CIty

Wenke Huang

Elite
@WenkeHuang

You only live once. Do what you love.

RethinkFL. CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View

117

MarsFL. TPAMI 2024 - Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark

114

FCCL. TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and Be Yourself in Heterogeneous Federated Learning

109

Awesome-MLLM-Tuning. Multimodal Large Language Model (MLLM) Tuning Survey: Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model

101

Pytorch_FedMD. Python

75

MAPO. MAPO: MIXED ADVANTAGE POLICY OPTIMIZATION

35

Encyclopedia-of-Artificial-Intelligence. I have the Artificial Intelligence knowledge you want.

21

HeteroFL. Benchmark for Hetergeneous Federated Learning by MARS Group at the Wuhan University, led by Prof. Mang Ye.

19

FDCR. NeruIPS2024 - Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated LearningAdd commentMore actions

10

SDEA. ICML 2024 - Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning

10

FLCHD. npj Digital Medicine 2026 Federated Clinical Concept and Disease Semantic Learning for Congenital Heart Disease Diagnosis

9

SDFC. ECCV 2024 - Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning

8

RevisitFL. Python

7

FGSSL. IJCAI2023 - Federated Graph Semantic and Structural Learning

6

CHDFM. Python

4

WenkeHuang.github.io. HTML

3

SPIDER. ICML 2025 - Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning

3

WenkeHuang. WenkeHuang

3

DynamicPFL. NeurIPS23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy

3

NRCA. ICML 2025 - Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning

2

BYE. [NeurIPS'25] Backdoor Cleaning without External Guidance in MLLM Fine-tuning

1

FPL_MindSpore. a MindSpore implementation of Federated Prototype Learning

1

vit-pytorch. Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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