5.1k citations · 9.6k across the 102 of their papers we have counts for
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cs.LG2017★ 19 cited
Parle: parallelizing stochastic gradient descent
Pratik Chaudhari, Carlo Baldassi, Riccardo Zecchina +3
We propose a new algorithm called Parle for parallel training of deep networks that converges 2-4x faster than a data-parallel implementation of SGD, while achieving significantly…
cs.LG2017★ 112 cited
Federated Multi-Task Learning
Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi +1
Federated learning poses new statistical and systems challenges in training machine learning models over distributed networks of devices. In this work, we show that multi-task lear…