5 citations · 19 across the 18 of their papers we have counts for
3 papers · 1 filter
Differentially Private Federated Combinatorial Bandits with Constraints
Sambhav Solanki, Samhita Kanaparthy, Sankarshan Damle +1
There is a rapid increase in the cooperative learning paradigm in online learning settings, i.e., federated learning (FL). Unlike most FL settings, there are many situations where…
F3: Fair and Federated Face Attribute Classification with Heterogeneous Data
Samhita Kanaparthy, Manisha Padala, Sankarshan Damle +2
Fairness across different demographic groups is an essential criterion for face-related tasks, Face Attribute Classification (FAC) being a prominent example. Apart from this trend,…
Federated Learning Meets Fairness and Differential Privacy
Manisha Padala, Sankarshan Damle, Sujit Gujar
Deep learning's unprecedented success raises several ethical concerns ranging from biased predictions to data privacy. Researchers tackle these issues by introducing fairness metri…