Summary of From Algorithm to Hardware: a Survey on Efficient and Safe Deployment Of Deep Neural Networks, by Xue Geng et al.
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networksby…
Summary of Fedgreen: Carbon-aware Federated Learning with Model Size Adaptation, by Ali Abbasi et al.
FedGreen: Carbon-aware Federated Learning with Model Size Adaptationby Ali Abbasi, Fan Dong, Xin Wang, Henry…
Summary of Bayesian Federated Model Compression For Communication and Computation Efficiency, by Chengyu Xia et al.
Bayesian Federated Model Compression for Communication and Computation Efficiencyby Chengyu Xia, Danny H. K. Tsang,…
Summary of Enhancing Inference Efficiency Of Large Language Models: Investigating Optimization Strategies and Architectural Innovations, by Georgy Tyukin
Enhancing Inference Efficiency of Large Language Models: Investigating Optimization Strategies and Architectural Innovationsby Georgy TyukinFirst…
Summary of Improve Knowledge Distillation Via Label Revision and Data Selection, by Weichao Lan et al.
Improve Knowledge Distillation via Label Revision and Data Selectionby Weichao Lan, Yiu-ming Cheung, Qing Xu,…
Summary of Instance-aware Group Quantization For Vision Transformers, by Jaehyeon Moon et al.
Instance-Aware Group Quantization for Vision Transformersby Jaehyeon Moon, Dohyung Kim, Junyong Cheon, Bumsub HamFirst submitted…
Summary of Are Compressed Language Models Less Subgroup Robust?, by Leonidas Gee et al.
Are Compressed Language Models Less Subgroup Robust?by Leonidas Gee, Andrea Zugarini, Novi QuadriantoFirst submitted to…
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 Dipaco: Distributed Path Composition, by Arthur Douillard et al.
DiPaCo: Distributed Path Compositionby Arthur Douillard, Qixuan Feng, Andrei A. Rusu, Adhiguna Kuncoro, Yani Donchev,…
Summary of Adversarial Fine-tuning Of Compressed Neural Networks For Joint Improvement Of Robustness and Efficiency, by Hallgrimur Thorsteinsson et al.
Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiencyby Hallgrimur Thorsteinsson,…