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06/11/2023
Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates
With the increasing demand for large-scale training of machine learning ...
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11/18/2022
Identifying Unique Causal Network from Nonstationary Time Series
Identifying causality is a challenging task in many data-intensive scena...
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10/11/2022
Network Topology Inference based on Timing Meta-Data
Consider a processor having access only to meta-data consisting of the t...
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09/12/2021
Critical Learning Periods in Federated Learning
Federated learning (FL) is a popular technique to train machine learning...
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02/11/2021
Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers
With the increasing demand for large-scale training of machine learning ...
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05/14/2019
Visual Analytics of Anomalous User Behaviors: A Survey
The increasing accessibility of data provides substantial opportunities ...
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07/30/2016
