28 citations · 62 across the 4 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2021★ 13 cited
TinyFedTL: Federated Transfer Learning on Tiny Devices
Kavya Kopparapu, Eric Lin
TinyML has rose to popularity in an era where data is everywhere. However, the data that is in most demand is subject to strict privacy and security guarantees. In addition, the de…
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…