Summary of Fedtlu: Federated Learning with Targeted Layer Updates, by Jong-ik Park and Carlee Joe-wong
FedTLU: Federated Learning with Targeted Layer Updatesby Jong-Ik Park, Carlee Joe-WongFirst submitted to arxiv on:…
Summary of The Dynamic Duo Of Collaborative Masking and Target For Advanced Masked Autoencoder Learning, by Shentong Mo
The Dynamic Duo of Collaborative Masking and Target for Advanced Masked Autoencoder Learningby Shentong MoFirst…
Summary of Brain-to-text Benchmark ’24: Lessons Learned, by Francis R. Willett et al.
Brain-to-Text Benchmark ’24: Lessons Learnedby Francis R. Willett, Jingyuan Li, Trung Le, Chaofei Fan, Mingfei…
Summary of Enabling Time-series Foundation Model For Building Energy Forecasting Via Contrastive Curriculum Learning, by Rui Liang et al.
Enabling Time-series Foundation Model for Building Energy Forecasting via Contrastive Curriculum Learningby Rui Liang, Yang…
Summary of Dr-encoder: Encode Low-rank Gradients with Random Prior For Large Language Models Differentially Privately, by Huiwen Wu et al.
DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privatelyby Huiwen Wu,…
Summary of Grams: Gradient Descent with Adaptive Momentum Scaling, by Yang Cao et al.
Grams: Gradient Descent with Adaptive Momentum Scalingby Yang Cao, Xiaoyu Li, Zhao SongFirst submitted to…
Summary of Generative Diffusion Modeling: a Practical Handbook, by Zihan Ding et al.
Generative Diffusion Modeling: A Practical Handbookby Zihan Ding, Chi JinFirst submitted to arxiv on: 22…
Summary of Foundation Model For Lossy Compression Of Spatiotemporal Scientific Data, by Xiao Li and Jaemoon Lee and Anand Rangarajan and Sanjay Ranka
Foundation Model for Lossy Compression of Spatiotemporal Scientific Databy Xiao Li, Jaemoon Lee, Anand Rangarajan,…
Summary of Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification, by Changchang Sun and Ren Wang and Yihua Zhang and Jinghan Jia and Jiancheng Liu and Gaowen Liu and Yan Yan and Sijia Liu
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classificationby Changchang Sun,…
Summary of Label Privacy in Split Learning For Large Models with Parameter-efficient Training, by Philip Zmushko et al.
Label Privacy in Split Learning for Large Models with Parameter-Efficient Trainingby Philip Zmushko, Marat Mansurov,…