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pro vyhledávání: '"Rege, Victoria"'
Autor:
Lee, Edward H., Krell, Mario Michael, Tsyplikhin, Alexander, Rege, Victoria, Colak, Errol, Yeom, Kristen W.
Differentially private SGD (DPSGD) has recently shown promise in deep learning. However, compared to non-private SGD, the DPSGD algorithm places computational overheads that can undo the benefit of batching in GPUs. Micro-batching is a common method
Externí odkaz:
http://arxiv.org/abs/2109.12191
Autor:
Mohan, Lakshan Ram Madhan, Marshall, Alexander, Maddrell-Mander, Samuel, O'Hanlon, Daniel, Petridis, Konstantinos, Rademacker, Jonas, Rege, Victoria, Titterton, Alexander
This paper presents the first study of Graphcore's Intelligence Processing Unit (IPU) in the context of particle physics applications. The IPU is a new type of processor optimised for machine learning. Comparisons are made for neural-network-based ev
Externí odkaz:
http://arxiv.org/abs/2008.09210
Autor:
Maddrell-Mander, Samuel, Mohan, Lakshan Ram Madhan, Marshall, Alexander, O’Hanlon, Daniel, Petridis, Konstantinos, Rademacker, Jonas, Rege, Victoria, Titterton, Alexander
Publikováno v:
Computing and Software for Big Science; December 2021, Vol. 5 Issue: 1