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20232026
most citedFederated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data

2 citations · 6 across the 7 of their papers we have counts for

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cs.LG2024★ 2 cited

Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data

Zhaomin Wu, Junyi Hou, Yiqun Diao +1

Federated Learning (FL) is an evolving paradigm that enables multiple parties to collaboratively train models without sharing raw data. Among its variants, Vertical Federated Learn…

cs.LG2024

Model-based Large Language Model Customization as Service

Zhaomin Wu, Jizhou Guo, Junyi Hou +3

Prominent Large Language Model (LLM) services from providers like OpenAI and Google excel at general tasks but often underperform on domain-specific applications. Current customiza…