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cs.CL2024
Efficient Stagewise Pretraining via Progressive Subnetworks
Abhishek Panigrahi, Nikunj Saunshi, Kaifeng Lyu +4
Recent developments in large language models have sparked interest in efficient pretraining methods. Stagewise training approaches to improve efficiency, like gradual stacking and…
cs.LG2024
Asynchronous Local-SGD Training for Language Modeling
Bo Liu, Rachita Chhaparia, Arthur Douillard +5
Local stochastic gradient descent (Local-SGD), also referred to as federated averaging, is an approach to distributed optimization where each device performs more than one SGD upda…