The IEEE International Conference on Communications (ICC) 2024, focused on “Scaling the Peaks of Global Communications”, took place on 9-13 June 2024 in Denver, Colorado, United States of America.
PREDICT-6G was at the “Edge Learning Over 5G Mobile Networks and Beyond” workshop, which featured two notable keynotes. Aylin Yener, professor at Ohio University, focused on how the Wireless Medium can be exploited to improve Federated Learning, whilst Julien Forgeat, from Ericsson, shared valuable insights into research directions on Distributed Learning from an industry perspective.
Ericsson delivered another interesting presentation focusing on Multi-task Learning for AI-native Radio Access Network. The other presentations primarily focused on Federated Learning, covering some relevant aspects such as model selection, model aggregation and Over-the-Air computation.
Giuseppe Di Giacomo, from Politecnico di Torino (POLITO), presented the paper “Generosity Pays Off: A Game-Theoretic Study of Cooperation in Decentralized Learning“. This research, which introduces an incentive mechanism for cooperation in Decentralized Learning, was orthogonal to such works, which still highlighted the need to address the challenge of incentivizing cooperation. During the event, di Giacomo also had the opportunity to engage in stimulating discussions with other PhD students and researchers about the future of Decentralized Learning.
The IEEE International Conference on Communications (ICC) is one of two IEEE Communications Society’s flagship conferences (ICC and Globecom). Each year, close to 2,000 attendees from the industry and academia attend IEEE ICC to learn about the latest research and innovations in communications and networking technology, share ideas and best practices, and collaborate on future projects.
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