3 papers
cs.LG2024
Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data Distributions
Shivam Gupta, Tarushi, Tsering Wangzes +1
The rapid growth of data from edge devices has catalyzed the performance of machine learning algorithms. However, the data generated resides at client devices thus there are majorl…
cs.LG2024
Fairness of Exposure in Online Restless Multi-armed Bandits
Archit Sood, Shweta Jain, Sujit Gujar
Restless multi-armed bandits (RMABs) generalize the multi-armed bandits where each arm exhibits Markovian behavior and transitions according to their transition dynamics. Solutions…
cs.LG2024
Fairness and Privacy Guarantees in Federated Contextual Bandits
Sambhav Solanki, Shweta Jain, Sujit Gujar
This paper considers the contextual multi-armed bandit (CMAB) problem with fairness and privacy guarantees in a federated environment. We consider merit-based exposure as the desir…