Federico Danieli
Apple Machine Learning Research
Federico Danieli is a researcher at Apple Machine Learning Research. He pioneered parallel Newton methods (DeepPCR, ParaRNN) for parallelizing “inherently sequential” models, scaling to a 7B-parameter RNN.