XTRUST-6G Research Showcased at IEEE INFOCOM 2026

XTRUST-6G research was presented at IEEE INFOCOM 2026, one of the world’s leading conferences in computer networking and communications, held in Tokyo, Japan, from 18–21 May 2026.

As part of the project’s dissemination activities, XTRUST-6G partner TID presented a research poster entitled “From Hardware to Handovers: Mapping Smartphone Tiers to Mobility Diversity”, highlighting ongoing work developed within Task 4.2 of the project. The poster was presented by Andre F. Zanella and attracted significant interest from conference attendees throughout the dedicated poster session.

The work explores how device-induced data heterogeneity naturally emerges in real-world mobile environments and examines its potential impact on Federated Learning (FL) training processes. By analysing differences among smartphone categories and their mobility patterns, the research provides valuable insights into one of the key challenges facing distributed intelligence systems in future 6G networks.

IEEE INFOCOM is widely recognised as one of the most prestigious and competitive conferences in the field of computer networking, bringing together nearly 1,000 participants from academia, research organisations, and industry worldwide. Participation in this event provided an excellent opportunity to present XTRUST-6G research to a highly specialised audience and engage with experts working on next-generation networking technologies, artificial intelligence, and distributed systems.

During the two-hour poster session, numerous researchers and industry representatives interacted with the presenter to learn more about the project’s work. Discussions focused primarily on the challenges of device-induced data heterogeneity and the strategies being developed within XTRUST-6G to address its impact on Federated Learning environments. The strong level of engagement and the quality of the questions received demonstrated the relevance of the research topic and confirmed the growing interest of the scientific community in developing more robust and efficient AI solutions for distributed networks.

The research contributes directly to XTRUST-6G’s vision of enabling trustworthy, scalable, and intelligent 6G ecosystems by improving the understanding and management of heterogeneity in Federated Learning systems deployed across diverse devices and network environments.

Through participation in internationally recognised events such as IEEE INFOCOM, XTRUST-6G continues to strengthen its scientific visibility, foster collaboration opportunities, and disseminate innovative research results that support the development of secure and trustworthy 6G technologies.