[2603.27857] CARGO: Carbon-Aware Gossip Orchestration in Smart Shipping

Computer Science > Artificial Intelligence arXiv:2603.27857 (cs) [Submitted on 29 Mar 2026] Title:CARGO: Carbon-Aware Gossip Orchestration in Smart Shipping Authors:Alexandros S. Kalafatelis, Nikolaos Nomikos, Vasileios Nikolakakis, Nikolaos Tsoulakos, Panagiotis Trakadas View a PDF of the paper titled CARGO: Carbon-Aware Gossip Orchestration in Smart Shipping, by Alexandros S. Kalafatelis and 4 other authors View PDF HTML (experimental) Abstract:Smart shipping operations increasingly depend on collaborative AI, yet the underlying data are generated across vessels with uneven connectivity, limited backhaul, and clear commercial sensitivity. In such settings, server-coordinated FL remains a weak systems assumption, depending on a reachable aggregation point and repeated wide-area synchronization, both of which are difficult to guarantee in maritime networks. A serverless gossip approach therefore represents a more natural approach, but existing methods still treat communication mainly as an optimization bottleneck, rather than as a resource that must be managed jointly with carbon cost, reliability, and long-term participation balance. In this context, this paper presents CARGO, a carbon-aware gossip orchestration framework for smart-shipping. CARGO separates learning into a control and a data plane. The data plane performs local optimization with compressed gossip exchange, while the control plane decides, at each round, which vessels should participate, which communicatio...