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20232026
most citedEfficient Federated Prompt Tuning for Black-box Large Pre-trained Models

2 citations · 2 across the 3 of their papers we have counts for

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cs.CV2024

Heterogeneous Federated Learning with Splited Language Model

Yifan Shi, Yuhui Zhang, Ziyue Huang +4

Federated Split Learning (FSL) is a promising distributed learning paradigm in practice, which gathers the strengths of both Federated Learning (FL) and Split Learning (SL) paradig…