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cs.AI2026
Identity, Incentives, and Cooperative Behavior for AI: Reverse-Engineering Multiagent Cooperation
Andrew Perrault, Bryan Wilder
The behavior of AI systems increasingly depends on the extent to which agents cooperate or coordinate with one another, in ways that may be desirable or not depending on the situat…
cs.LG2026
Pathwise Individual Rationality in Federated Learning: A Mechanism-Architecture Co-Design
Amin Meghrazi, Srinivasan Parthasarathy, Andrew Perrault
Participation in federated learning (FL) comes at a cost. Clients trade off privacy, communication, and compute costs for potentially greater gains in model efficacy. This paper ex…