10 citations · 17 across the 5 of their papers we have counts for
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3 papers · 1 filter
cs.CV2021★ 2 cited
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers
Jiahao Lu, Xi Sheryl Zhang, Tianli Zhao +2
Federated learning frameworks typically require collaborators to share their local gradient updates of a common model instead of sharing training data to preserve privacy. However,…
cs.CV2021★ 3 cited
Improving Binary Neural Networks through Fully Utilizing Latent Weights
Weixiang Xu, Qiang Chen, Xiangyu He +2
Binary Neural Networks (BNNs) rely on a real-valued auxiliary variable W to help binary training. However, pioneering binary works only use W to accumulate gradient updates during…
cs.CV2021
Architecture Aware Latency Constrained Sparse Neural Networks
Tianli Zhao, Qinghao Hu, Xiangyu He +4
Acceleration of deep neural networks to meet a specific latency constraint is essential for their deployment on mobile devices. In this paper, we design an architecture aware laten…