research
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11/11/2022
One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design
The mainstream workflow of image recognition applications is first train...
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01/24/2022
On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems
Data heterogeneity is an intrinsic property of recommender systems, maki...
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02/18/2020
Distributed Optimization over Block-Cyclic Data
We consider practical data characteristics underlying federated learning...
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02/18/2020
