Summary of Lqer: Low-rank Quantization Error Reconstruction For Llms, by Cheng Zhang et al.
LQER: Low-Rank Quantization Error Reconstruction for LLMsby Cheng Zhang, Jianyi Cheng, George A. Constantinides, Yiren…
Summary of Locally-adaptive Quantization For Streaming Vector Search, by Cecilia Aguerrebere and Mark Hildebrand and Ishwar Singh Bhati and Theodore Willke and Mariano Tepper
Locally-Adaptive Quantization for Streaming Vector Searchby Cecilia Aguerrebere, Mark Hildebrand, Ishwar Singh Bhati, Theodore Willke,…
Summary of Improved Quantization Strategies For Managing Heavy-tailed Gradients in Distributed Learning, by Guangfeng Yan et al.
Improved Quantization Strategies for Managing Heavy-tailed Gradients in Distributed Learningby Guangfeng Yan, Tan Li, Yuanzhang…
Summary of Large Language Models For Time Series: a Survey, by Xiyuan Zhang et al.
Large Language Models for Time Series: A Surveyby Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K.…
Summary of Signsgd with Federated Defense: Harnessing Adversarial Attacks Through Gradient Sign Decoding, by Chanho Park et al.
SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decodingby Chanho Park, Namyoon LeeFirst…
Summary of Truncated Non-uniform Quantization For Distributed Sgd, by Guangfeng Yan et al.
Truncated Non-Uniform Quantization for Distributed SGDby Guangfeng Yan, Tan Li, Yuanzhang Xiao, Congduan Li, Linqi…
Summary of Hw-sw Optimization Of Dnns For Privacy-preserving People Counting on Low-resolution Infrared Arrays, by Matteo Risso et al.
HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arraysby Matteo Risso, Chen…
Summary of Fedshift: Robust Federated Learning Aggregation Scheme in Resource Constrained Environment Via Weight Shifting, by Jungwon Seo et al.
FedShift: Robust Federated Learning Aggregation Scheme in Resource Constrained Environment via Weight Shiftingby Jungwon Seo,…
Summary of Kvquant: Towards 10 Million Context Length Llm Inference with Kv Cache Quantization, by Coleman Hooper et al.
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantizationby Coleman Hooper, Sehoon…
Summary of Trainable Fixed-point Quantization For Deep Learning Acceleration on Fpgas, by Dingyi Dai et al.
Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAsby Dingyi Dai, Yichi Zhang, Jiahao Zhang,…