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dSTAR: Straggler Tolerant and Byzantine Resilient Distributed SGD
and-cluster-computingartificial-intelligencecryptography-and-securitydistributedmachine-learningparallel
Distributed model training needs to be adapted to challenges such as the straggler effect and Byzantine attacks. When coordinating the training process with multiple computing nodes, ensuring timely and reliable gradient aggregation amidst network and system malfunctions is essential. To tackle thes
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