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math.NA2024
Distributed Hybrid Sketching for -Embeddings
Neophytos Charalambides, Arya Mazumdar
Linear algebraic operations are ubiquitous in engineering applications, and arise often in a variety of fields including statistical signal processing and machine learning. With co…
cs.LG2024
Effectiveness of Distributed Gradient Descent with Local Steps for Overparameterized Models
Heng Zhu, Harsh Vardhan, Arya Mazumdar
In distributed training of machine learning models, gradient descent with local iterative steps, commonly known as Local (Stochastic) Gradient Descent (Local-(S)GD) or Federated av…