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This presentation delves into the realm of distributed learning, focusing on advances and challenges in this technological domain. It explores the intricate aspects of dealing with large datasets and the pivotal role of network structures. The session introduces Distributed Dual Coordinate Ascent (DDCA), elucidating its generalisation, network convergence analysis, and approaches to tackle network delays. Methodological innovations using tree network frameworks and novel optimisation...