most citedFed-Focal Loss for imbalanced data classification in Federated Learning

34 citations · 34 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2020

CatFedAvg: Optimising Communication-efficiency and Classification Accuracy in Federated Learning

Dipankar Sarkar, Sumit Rai, Ankur Narang

Federated learning has allowed the training of statistical models over remote devices without the transfer of raw client data. In practice, training in heterogeneous and large netw…

cs.LG2020★ 34 cited

Fed-Focal Loss for imbalanced data classification in Federated Learning

Dipankar Sarkar, Ankur Narang, Sumit Rai

The Federated Learning setting has a central server coordinating the training of a model on a network of devices. One of the challenges is variable training performance when the da…