How Can We Optimize Budgets in Federated Learning Auctions Across Multiple Sessions?

Original title: Multi-Session Budget Optimization for Forward Auction-based Federated Learning

Authors: Xiaoli Tang, Han Yu

In this article, Auction-based Federated Learning (AFL) takes the spotlight. Traditionally, getting all the needed data owners together before training starts is the norm. But what if the process could happen across multiple sessions?

Original article: https://arxiv.org/abs/2311.12548