Air-Plan: Query-Optimized Topology Selection for Over-the-Air Decentralized Federated Learning
A AIRPLAN is presented, a query-optimized topology selection framework for Over-the-Air Decentralized Federated Learning (OTA-DFL) that establishes a formal equivalence between OTA-DFL and distributed query processing, enabling topology selection to be formulated as a cost-based query optimization problem.