Lai, Liangzhen

Federated Learning with Non-IID Data

Zhao, Y., Li, M., Lai, L., Suda, N., Civin, D., & Chandra, V. (2018) · arXiv

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 2,077

Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network

Sharma, H., Park, J., Suda, N., Lai, L., Chau, B., Kim, J. K., Chandra, V., & Esmaeilzadeh, H. (2018) · 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture (ISCA)

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 543

Heterogeneous Dataflow Accelerators for Multi-DNN Workloads

Kwon, H., Lai, L., Pellauer, M., Krishna, T., Chen, Y.-H., & Chandra, V. (2021) · 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA)

Parallel Computing and Optimization TechniquesEmbedded Systems Design Techniques

Cited by 144

Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations

Lai, L., Suda, N., & Chandra, V. (2017) · arXiv

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 81

Enabling deep learning at the IoT edge

Lai, L., & Suda, N. (2018) · Proceedings of the International Conference on Computer-Aided Design

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 49

Low-Rank+Sparse Tensor Compression for Neural Networks

Hawkins, C., Yang, H., Li, M., Lai, L., & Chandra, V. (2021) · arXiv

Advanced Neural Network ApplicationsTensor decomposition and applications

Cited by 2