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Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet
Haichuan Yang, Yuan Shangguan, Dilin Wang, 李萌, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems
Xin Dong, Ziyun Li, 李萌, Zhongnan Qu, Barbara De Salvo, Chiao Liu, Hsiang-Tsung Kung
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training
Chengyue Gong, Dilin Wang, 李萌, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra
Federated Learning with Non-IID Data
Yue Zhao, 李萌, Liangzhen Lai, Naveen Suda, Damon Civin, Vikas Chandra
PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training
李萌, Liangzhen Lai, Naveen Suda, Vikas Chandra, David Z. Pan
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