12 citations · 21 across the 4 of their papers we have counts for
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cs.LG2021★ 12 cited
What Do We Mean by Generalization in Federated Learning?
Honglin Yuan, Warren Morningstar, Lin Ning +1
Federated learning data is drawn from a distribution of distributions: clients are drawn from a meta-distribution, and their data are drawn from local data distributions. Thus gene…
cs.LG2021★ 4 cited
Learning Federated Representations and Recommendations with Limited Negatives
Lin Ning, Karan Singhal, Ellie X. Zhou +1
Deep retrieval models are widely used for learning entity representations and recommendations. Federated learning provides a privacy-preserving way to train these models without re…