Confirmed posters
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1. Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings (L. Besson, R. Bonnefoi, C. Moy, E. Kaufmann, J. Palicot)

2. Distributed sequential sampling for kernel matrix approximation (D. Calandriello, A. Lazaric and M. Valko)

3. An Asynchronous Distributed Proximal Gradient Algorithm (K. Mishchenko and F. Iutzeler)

4. Fingerprinting Big Data (O. Ruas)

5. Decentralised and Privacy-Aware Learning of Traversal Time Models (T. Le Van, A. Bellet and J. Ramon)

6. Distributed learning on edges devices using Parameter Server (C. Hardy, E. Le Merrer and B. Sericola)