Artavazd Maranjyan
PulseAugur coverage of Artavazd Maranjyan — every cluster mentioning Artavazd Maranjyan across labs, papers, and developer communities, ranked by signal.
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New LOSCAR-SGD method speeds up distributed AI training
Researchers have introduced LOSCAR-SGD, a novel method for distributed machine learning that addresses communication bottlenecks. This approach combines local training, sparse model updates, and communication-computatio…
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Ringmaster LMO method improves asynchronous neural network training
Researchers have developed Ringmaster LMO, a novel asynchronous method for training neural networks that addresses inefficiencies in distributed systems. This approach builds upon the delay-thresholding concept to manag…
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Rescaled ASGD optimizes distributed learning with heterogeneous data
Researchers have introduced Rescaled Asynchronous SGD (ASGD), a novel method for optimizing distributed machine learning models under heterogeneous conditions. This approach addresses the bias in standard ASGD that aris…
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New algorithm Rennala MVR improves parallel optimization time complexity
Researchers have introduced Rennala MVR, a novel parallel stochastic optimization algorithm designed to improve time complexity in heterogeneous computing environments. This method builds upon the Rennala SGD algorithm …