Stable Payoff Allocation

Stable payoff allocation focuses on fairly and efficiently distributing rewards or costs among multiple agents contributing to a shared outcome, ensuring cooperation and preventing instability. Current research emphasizes developing algorithms, such as those based on Shapley values or core concepts from cooperative game theory, and exploring novel aggregation techniques like randomized methods to improve the accuracy and stability of these allocations in various settings, including federated learning and resource allocation markets. This research is significant for its applications in diverse fields, from collaborative machine learning and online recommendation systems to energy markets, promoting fairness, efficiency, and trust in multi-agent systems.