Fairness-Aware Online Optimization with Switching Cost Considerations

This research explores online optimization techniques, crucial for real-time decision-making, by incorporating fairness constraints and switching costs, addressing practical challenges in algorithmic deployments. The work likely offers novel theoretical contributions and practical implications for deploying fairer and more stable online algorithms.