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10/14/2022
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
An oft-cited challenge of federated learning is the presence of heteroge...
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06/30/2022
Where to Begin? Exploring the Impact of Pre-Training and Initialization in Federated Learning
An oft-cited challenge of federated learning is the presence of data het...
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04/08/2022
Federated Learning with Partial Model Personalization
We consider two federated learning algorithms for training partially per...
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04/04/2022
FedSynth: Gradient Compression via Synthetic Data in Federated Learning
Model compression is important in federated learning (FL) with large mod...
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11/08/2021
Papaya: Practical, Private, and Scalable Federated Learning
Cross-device Federated Learning (FL) is a distributed learning paradigm ...
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06/11/2021
Federated Learning with Buffered Asynchronous Aggregation
Federated Learning (FL) trains a shared model across distributed devices...
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09/27/2019
Active Federated Learning
Federated Learning allows for population level models to be trained with...
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09/27/2019
