Full Professor, Carnegie Mellon University
2 papers at NeurIPS 2025
We propose FCGrad, a conflict-aware gradient adjustment method that improves social welfare while ensuring fairness in multi-agent mixed-motive settings by resolving conflicts between individual and collective objectives.