Summary of The Unreasonable Ineffectiveness Of the Deeper Layers, by Andrey Gromov et al.
The Unreasonable Ineffectiveness of the Deeper Layersby Andrey Gromov, Kushal Tirumala, Hassan Shapourian, Paolo Glorioso,…
Summary of Federated Learning Based on Pruning and Recovery, by Chengjie Ma
Federated Learning based on Pruning and Recoveryby Chengjie MaFirst submitted to arxiv on: 16 Mar…
Summary of Insights Into the Lottery Ticket Hypothesis and Iterative Magnitude Pruning, by Tausifa Jan Saleem et al.
Insights into the Lottery Ticket Hypothesis and Iterative Magnitude Pruningby Tausifa Jan Saleem, Ramanjit Ahuja,…
Summary of Auto-train-once: Controller Network Guided Automatic Network Pruning From Scratch, by Xidong Wu et al.
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratchby Xidong Wu, Shangqian Gao, Zeyu Zhang,…
Summary of Fedmef: Towards Memory-efficient Federated Dynamic Pruning, by Hong Huang et al.
FedMef: Towards Memory-efficient Federated Dynamic Pruningby Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan LyuFirst submitted…
Summary of Advancing Iiot with Over-the-air Federated Learning: the Role Of Iterative Magnitude Pruning, by Fazal Muhammad Ali Khan et al.
Advancing IIoT with Over-the-Air Federated Learning: The Role of Iterative Magnitude Pruningby Fazal Muhammad Ali…
Summary of Osscar: One-shot Structured Pruning in Vision and Language Models with Combinatorial Optimization, by Xiang Meng et al.
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimizationby Xiang Meng, Shibal…
Summary of Lnpt: Label-free Network Pruning and Training, by Jinying Xiao et al.
LNPT: Label-free Network Pruning and Trainingby Jinying Xiao, Ping Li, Zhe Tang, Jie NieFirst submitted…
Summary of Seven: Pruning Transformer Model by Reserving Sentinels, By Jinying Xiao et al.
SEVEN: Pruning Transformer Model by Reserving Sentinelsby Jinying Xiao, Ping Li, Jie Nie, Zhe TangFirst…
Summary of Graph Expansion in Pruned Recurrent Neural Network Layers Preserve Performance, by Suryam Arnav Kalra et al.
Graph Expansion in Pruned Recurrent Neural Network Layers Preserve Performanceby Suryam Arnav Kalra, Arindam Biswas,…