17 citations · 25 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 17 cited
RWKV: Reinventing RNNs for the Transformer Era
Bo Peng, Eric Alcaide, Quentin Anthony +31
Transformers have revolutionized almost all natural language processing (NLP) tasks but suffer from memory and computational complexity that scales quadratically with sequence leng…
cs.LG2022★ 8 cited
FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks
Lingzhi Gao, Zhenyuan Zhang, Chao Wu
While existing federated learning approaches primarily focus on aggregating local models to construct a global model, in realistic settings, some clients may be reluctant to share…