research
∙
06/11/2023
Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning
Multi-Teacher knowledge distillation provides students with additional s...
share
research
∙
11/25/2022
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism
Transformer models have achieved state-of-the-art performance on various...
research
∙
03/26/2022
Knowledge Distillation with the Reused Teacher Classifier
Knowledge distillation aims to compress a powerful yet cumbersome teache...
research
∙
12/30/2021
Confidence-Aware Multi-Teacher Knowledge Distillation
Knowledge distillation is initially introduced to utilize additional sup...
research
∙
12/14/2021
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework
Embedding models have been an effective learning paradigm for high-dimen...
research
∙
03/15/2019
Energy Efficiency Maximization for SWIPT Enabled Two-Way DF Relaying
This paper focuses on the design of an optimal resource allocation schem...
research
∙
02/28/2019
System Outage Performance for Three-Step Two-Way Energy Harvesting DF Relaying
Wireless energy harvesting (WEH) has been recognized as a promising tech...
research
∙
12/30/2018
On the Outage Performance of SWIPT Based Three-step Two-way DF Relay Networks
In this paper, we study the outage performance of simultaneous wireless ...
research
∙
12/02/2018
Unilateral Left-Tail Anderson Darling Test Based Spectrum Sensing with Laplacian Noise
This paper focuses on spectrum sensing under Laplacian noise. To remit t...
research
∙
11/30/2018
Heterogeneous Power-Splitting Based Two-Way DF Relaying with Non-Linear Energy Harvesting
Simultaneous wireless information and power transfer (SWIPT) has been re...
research
∙
11/30/2018
