Lifecycle-level cost modeling and optimization

Develop lifecycle-level cost models that measure and optimize the resources required to produce, protect, aggregate, validate, deploy, and maintain shared capabilities in federated agent collaboration.

Background

The paper’s formalization initially emphasizes communication cost, but federated agent collaboration also incurs costs for local adaptation, privacy protection, validation, inference, tool execution, storage, synchronization, and continual maintenance.

These costs vary with heterogeneous computational resources and model capacities. The paper identifies an unresolved need for cost models and optimization methods that account for the full lifecycle of shared capabilities rather than communication volume alone.