34 citations · 34 across the 2 of their papers we have counts for
2 papers
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…