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cs.DC2023
Correlation Aware Sparsified Mean Estimation Using Random Projection
Shuli Jiang, Pranay Sharma, Gauri Joshi
We study the problem of communication-efficient distributed vector mean estimation, a commonly used subroutine in distributed optimization and Federated Learning (FL). Rand- spa…
cs.LG2023
High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise
Aleksandar Armacki, Pranay Sharma, Gauri Joshi +3
We study high-probability convergence guarantees of learning on streaming data in the presence of heavy-tailed noise. In the proposed scenario, the model is updated in an online fa…