Summary of Fedcomloc: Communication-efficient Distributed Training Of Sparse and Quantized Models, by Kai Yi et al.
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Modelsby Kai Yi, Georg Meinhardt, Laurent Condat,…
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,…
Summary of Generalized Relevance Learning Grassmann Quantization, by M. Mohammadi et al.
Generalized Relevance Learning Grassmann Quantizationby M. Mohammadi, M. Babai, M.H.F. WilkinsonFirst submitted to arxiv on:…
Summary of Comq: a Backpropagation-free Algorithm For Post-training Quantization, by Aozhong Zhang et al.
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantizationby Aozhong Zhang, Zi Yang, Naigang Wang, Yingyong Qi,…
Summary of What Makes Quantization For Large Language Models Hard? An Empirical Study From the Lens Of Perturbation, by Zhuocheng Gong et al.
What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of…
Summary of Framequant: Flexible Low-bit Quantization For Transformers, by Harshavardhan Adepu et al.
FrameQuant: Flexible Low-Bit Quantization for Transformersby Harshavardhan Adepu, Zhanpeng Zeng, Li Zhang, Vikas SinghFirst submitted…
Summary of The Impact Of Quantization on the Robustness Of Transformer-based Text Classifiers, by Seyed Parsa Neshaei et al.
The Impact of Quantization on the Robustness of Transformer-based Text Classifiersby Seyed Parsa Neshaei, Yasaman…
Summary of Gear: An Efficient Kv Cache Compression Recipe For Near-lossless Generative Inference Of Llm, by Hao Kang et al.
GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLMby Hao Kang,…
Summary of On-demand Quantization For Green Federated Generative Diffusion in Mobile Edge Networks, by Bingkun Lai et al.
On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networksby Bingkun Lai, Jiayi He,…
Summary of Deep-learned Compression For Radio-frequency Signal Classification, by Armani Rodriguez et al.
Deep-Learned Compression for Radio-Frequency Signal Classificationby Armani Rodriguez, Yagna Kaasaragadda, Silvija Kokalj-FilipovicFirst submitted to arxiv…