Vikram Saraph

Orcid: 0000-0002-3453-5797

According to our database1, Vikram Saraph authored at least 14 papers between 2014 and 2023.

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Bibliography

2023
High-Resolution Convolutional Neural Networks on Homomorphically Encrypted Data via Sharding Ciphertexts.
CoRR, 2023

2021
Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery.
Proceedings of Machine Learning and Systems 2021, 2021

2020
CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery.
CoRR, 2020

DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference.
Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2019
Fault-Tolerant Distributed Computability.
PhD thesis, 2019

An Empirical Study of Speculative Concurrency in Ethereum Smart Contracts.
Proceedings of the International Conference on Blockchain Economics, 2019

2018
An algorithmic approach to the asynchronous computability theorem.
J. Appl. Comput. Topol., 2018

Scott sentences for certain groups.
Arch. Math. Log., 2018

Proof-Carrying Smart Contracts.
Proceedings of the Financial Cryptography and Data Security, 2018

2017
Linearizable Iterators for Concurrent Data Structures.
CoRR, 2017

2016
Asynchronous Computability Theorems for t-Resilient Systems.
Proceedings of the Distributed Computing - 30th International Symposium, 2016

2015
MAGNA++: Maximizing Accuracy in Global Network Alignment via both node and edge conservation.
Bioinform., 2015

The Relative Power of Composite Loop Agreement Tasks.
Proceedings of the 19th International Conference on Principles of Distributed Systems, 2015

2014
MAGNA: Maximizing Accuracy in Global Network Alignment.
Bioinform., 2014


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