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05/25/2023
FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients
Federated Learning (FL) is a distributed learning paradigm that empowers...
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04/23/2023
GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning
As deep learning continues to advance and is applied to increasingly com...
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04/27/2021
