3 papers
cs.MA2026
AgentSociety: Incentivizing Agentic Social Intelligence
Aditya Vema Reddy Kesari, Krishna Reddy Kesari
The success of deployed agents relies on their ability to handle open-ended user requests using their inherent capabilities, not only in solving requests directly but also in effec…
cs.LG2025
Fluid Democracy in Federated Data Aggregation
Aditya Vema Reddy Kesari, Krishna Reddy Kesari
Federated learning (FL) mechanisms typically require each client to transfer their weights to a central server, irrespective of how useful they are. In order to avoid wasteful data…
cs.GT2025
Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners
Drashthi Doshi, Aditya Vema Reddy Kesari, Avishek Ghosh +2
In federated learning (FL), a center trains a shared model from updates that clients compute on their private data. Collecting and training on data is costly, so a strategic client…