most citedEmbracing Federated Learning: Enabling Weak Client Participation via Partial Model Training

13 citations · 19 across the 6 of their papers we have counts for

collaborators

2 papers

cs.AR2023★ 4 cited

Reuse Kernels or Activations? A Flexible Dataflow for Low-latency Spectral CNN Acceleration

Yue Niu, Rajgopal Kannan, Ajitesh Srivastava +1

Spectral-domain CNNs have been shown to be more efficient than traditional spatial CNNs in terms of reducing computation complexity. However they come with a `kernel explosion' pro…

cs.LG2023

mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization

Yue Niu, Zalan Fabian, Sunwoo Lee +2

Quasi-Newton methods still face significant challenges in training large-scale neural networks due to additional compute costs in the Hessian related computations and instability i…