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Researcher profile

Arindam Banerjee

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis

    2024 · arXiv (Cornell University)

    Combining gradient compression methods (e.g., CountSketch, quantization) and adaptive optimizers (e.g., Adam, AMSGrad) is a desirable goal in federated learning (FL), with potential benefits on both fewer communication rounds and less per-round communication. In spite …

  2. Optimization for Neural Operators can Benefit from Width

    2025 · arXiv (Cornell University)

    Neural Operators that directly learn mappings between function spaces, such as Deep Operator Networks (DONs) and Fourier Neural Operators (FNOs), have received considerable attention. Despite the universal approximation guarantees for DONs and FNOs, there is …