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20222026
most citedSecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC

2 citations · 3 across the 7 of their papers we have counts for

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cs.LG2022★ 1 cited

When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods

Zhuo Zhang, Yuanhang Yang, Yong Dai +2

With increasing privacy concerns on data, recent studies have made significant progress using federated learning (FL) on privacy-sensitive natural language processing (NLP) tasks.…