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07/02/2021
Gradient-Leakage Resilient Federated Learning
Federated learning(FL) is an emerging distributed learning paradigm with...
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04/25/2021
RDMAbox : Optimizing RDMA for Memory Intensive Workloads
We present RDMAbox, a set of low level RDMA opti-mizations that provide ...
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11/14/2020
Patient-Specific Seizure Prediction Using Single Seizure Electroencephalography Recording
Electroencephalogram (EEG) is a prominent way to measure the brain activ...
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08/03/2020
Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads
Since very few contributions to the development of an unified memory orc...
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06/30/2020
Lachesis: Automated Generation of Persistent Partitionings for UDF-Centric Analytics
Persistent partitioning is effective in avoiding expensive shuffling ope...
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11/21/2019
Schemaless Queries over Document Tables with Dependencies
Unstructured enterprise data such as reports, manuals and guidelines oft...
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08/18/2019
Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks
Learning Rate (LR) is an important hyper-parameter to tune for effective...
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07/08/2019
StackVault: Protection from Untrusted Functions
Data exfiltration attacks have led to huge data breaches. Recently, the ...
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08/18/2018