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20232026
most citedFedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning

1 citations · 2 across the 9 of their papers we have counts for

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cs.LG2023★ 1 cited

MGAS: Multi-Granularity Architecture Search for Trade-Off Between Model Effectiveness and Efficiency

Xiaoyun Liu, Divya Saxena, Jiannong Cao +2

Neural architecture search (NAS) has gained significant traction in automating the design of neural networks. To reduce search time, differentiable architecture search (DAS) refram…