90 citations · 250 across the 45 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.CV2022★ 2 cited
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension
Xin He, Jiangchao Yao, Yuxin Wang +5
One-shot neural architecture search (NAS) substantially improves the search efficiency by training one supernet to estimate the performance of every possible child architecture (i.…
cs.LG2022★ 17 cited
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
Zhenheng Tang, Yonggang Zhang, Shaohuai Shi +3
In federated learning (FL), model performance typically suffers from client drift induced by data heterogeneity, and mainstream works focus on correcting client drift. We propose a…