Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration
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DOI: 10.1109/tmc.2023.3259007
Abstract: Iteration based collaborative learning (CL) paradigms, such as federated learning (FL) and split learning (SL), faces challenges in training neural models over the rapidly growing yet resource-constrained edge devices. Such devices have difficulty in accommodating… read more here.
Keywords: coordination scalable; promoting coordination; towards promoting; tree learning ... See more keywords