Summary of Joint Model Pruning and Resource Allocation For Wireless Time-triggered Federated Learning, by Xinlu Zhang et al.
Joint Model Pruning and Resource Allocation for Wireless Time-triggered Federated Learningby Xinlu Zhang, Yansha Deng,…
Summary of Classical Machine Learning: Seventy Years Of Algorithmic Learning Evolution, by Absalom E. Ezugwu et al.
Classical Machine Learning: Seventy Years of Algorithmic Learning Evolutionby Absalom E. Ezugwu, Yuh-Shan Ho, Ojonukpe…
Summary of Comparison Of Embedded Spaces For Deep Learning Classification, by Stefan Scholl
Comparison of Embedded Spaces for Deep Learning Classificationby Stefan SchollFirst submitted to arxiv on: 3…
Summary of Point Prediction For Streaming Data, by Aleena Chanda and N. V. Vinodchandran and Bertrand Clarke
Point Prediction for Streaming Databy Aleena Chanda, N. V. Vinodchandran, Bertrand ClarkeFirst submitted to arxiv…
Summary of Unifiednn: Efficient Neural Network Training on the Cloud, by Sifat Ut Taki et al.
UnifiedNN: Efficient Neural Network Training on the Cloudby Sifat Ut Taki, Arthi Padmanabhan, Spyridon MastorakisFirst…
Summary of Hmdn: Hierarchical Multi-distribution Network For Click-through Rate Prediction, by Xingyu Lou et al.
HMDN: Hierarchical Multi-Distribution Network for Click-Through Rate Predictionby Xingyu Lou, Yu Yang, Kuiyao Dong, Heyuan…
Summary of Sparse Linear Regression When Noises and Covariates Are Heavy-tailed and Contaminated by Outliers, By Takeyuki Sasai and Hironori Fujisawa
Sparse Linear Regression when Noises and Covariates are Heavy-Tailed and Contaminated by Outliersby Takeyuki Sasai,…
Summary of Stitchfusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation, by Bingyu Li et al.
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentationby Bingyu Li, Da Zhang, Zhiyuan…
Summary of Autoencoders in Function Space, by Justin Bunker et al.
Autoencoders in Function Spaceby Justin Bunker, Mark Girolami, Hefin Lambley, Andrew M. Stuart, T. J.…
Summary of Hybrid Coordinate Descent For Efficient Neural Network Learning Using Line Search and Gradient Descent, by Yen-che Hsiao and Abhishek Dutta
Hybrid Coordinate Descent for Efficient Neural Network Learning Using Line Search and Gradient Descentby Yen-Che…