2 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 2 cited
New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning
Siddharth Divi, Yi-Shan Lin, Habiba Farrukh +1
In Federated Learning (FL), the clients learn a single global model (FedAvg) through a central aggregator. In this setting, the non-IID distribution of the data across clients rest…
cs.LG2021★ 2 cited
Unifying Distillation with Personalization in Federated Learning
Siddharth Divi, Habiba Farrukh, Berkay Celik
Federated learning (FL) is a decentralized privacy-preserving learning technique in which clients learn a joint collaborative model through a central aggregator without sharing the…