28 citations · 72 across the 6 of their papers we have counts for
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cs.LG2020★ 28 cited
FedCD: Improving Performance in non-IID Federated Learning
Kavya Kopparapu, Eric Lin, Jessica Zhao
Federated learning has been widely applied to enable decentralized devices, which each have their own local data, to learn a shared model. However, learning from real-world data ca…
cs.LG2020★ 20 cited
FedFMC: Sequential Efficient Federated Learning on Non-iid Data
Kavya Kopparapu, Eric Lin
As a mechanism for devices to update a global model without sharing data, federated learning bridges the tension between the need for data and respect for privacy. However, classic…