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pro vyhledávání: '"Saraph A"'
Recently, Deep Convolutional Neural Networks (DCNNs) including the ResNet-20 architecture have been privately evaluated on encrypted, low-resolution data with the Residue-Number-System Cheon-Kim-Kim-Song (RNS-CKKS) homomorphic encryption scheme. We e
Externí odkaz:
http://arxiv.org/abs/2306.09189
Autor:
Evans, Erin F.1 (AUTHOR), Saraph, Ananya1 (AUTHOR), Tokuyama, Maria1 (AUTHOR) maria.tokuyama@ubc.ca
Publikováno v:
Viruses (1999-4915). Nov2024, Vol. 16 Issue 11, p1649. 17p.
Autor:
Beibei Zhao, Catherine M. Cowan, Juliane A. Coutts, Darren D. Christy, Ananya Saraph, Shawn C. C. Hsueh, Stephen S. Plotkin, Ian R. Mackenzie, Johanne M. Kaplan, Neil R. Cashman
Publikováno v:
Acta Neuropathologica Communications, Vol 11, Iss 1, Pp 1-17 (2023)
Abstract TAR DNA-binding protein 43 (TDP-43) and Fused in Sarcoma/Translocated in Sarcoma (FUS) are ribonucleoproteins associated with pathogenesis of amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD). Under physiologic
Externí odkaz:
https://doaj.org/article/1d6e11bc4ae24e4888e214787663cda9
Publikováno v:
Viruses, Vol 16, Iss 11, p 1649 (2024)
Human endogenous retroviruses (HERVs) are remnants of ancient retroviral infections that are part the human genome and are normally silenced through epigenetic mechanisms. However, HERVs can be induced by various host and environmental factors, inclu
Externí odkaz:
https://doaj.org/article/e3d7b6d90c3e466389015659ffdaf5d6
Autor:
Maeng, Kiwan, Bharuka, Shivam, Gao, Isabel, Jeffrey, Mark C., Saraph, Vikram, Su, Bor-Yiing, Trippel, Caroline, Yang, Jiyan, Rabbat, Mike, Lucia, Brandon, Wu, Carole-Jean
The paper proposes and optimizes a partial recovery training system, CPR, for recommendation models. CPR relaxes the consistency requirement by enabling non-failed nodes to proceed without loading checkpoints when a node fails during training, improv
Externí odkaz:
http://arxiv.org/abs/2011.02999
Autor:
Gupta, Udit, Hsia, Samuel, Saraph, Vikram, Wang, Xiaodong, Reagen, Brandon, Wei, Gu-Yeon, Lee, Hsien-Hsin S., Brooks, David, Wu, Carole-Jean
Neural personalized recommendation is the corner-stone of a wide collection of cloud services and products, constituting significant compute demand of the cloud infrastructure. Thus, improving the execution efficiency of neural recommendation directl
Externí odkaz:
http://arxiv.org/abs/2001.02772
Autor:
Saraph, Vikram, Herlihy, Maurice
We use historical data to estimate the potential benefit of speculative techniques for executing Ethereum smart contracts in parallel. We replay transaction traces of sampled blocks from the Ethereum blockchain over time, using a simple speculative e
Externí odkaz:
http://arxiv.org/abs/1901.01376
A legally valid identification document allows impartial arbitration of the identification of individuals. It protects individuals from a violation of their dignity, justice, liberty and equality. It protects the nation from a destruction of its repu
Externí odkaz:
http://arxiv.org/abs/1806.04410
This paper proposes a general framework for adding linearizable iterators to a class of data structures that implement set operations. We introduce a condition on set operations, called local consistency, which informally states that set operations n
Externí odkaz:
http://arxiv.org/abs/1705.08885
The asynchronous computability theorem (ACT) uses concepts from combinatorial topology to characterize which tasks have wait-free solutions in read-write memory. A task can be expressed as a relation between two chromatic simplicial complexes. The th
Externí odkaz:
http://arxiv.org/abs/1703.08525