101 citations · 205 across the 19 of their papers we have counts for
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cs.LG2023
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor
Hrushikesh Loya, Łukasz Dudziak, Abhinav Mehrotra +4
Neural architecture search has proven to be a powerful approach to designing and refining neural networks, often boosting their performance and efficiency over manually-designed va…
cs.LG2023★ 5 cited
FedL2P: Federated Learning to Personalize
Royson Lee, Minyoung Kim, Da Li +4
Federated learning (FL) research has made progress in developing algorithms for distributed learning of global models, as well as algorithms for local personalization of those comm…