Summary of Overcoming Label Shift in Targeted Federated Learning, by Edvin Listo Zec and Adam Breitholtz and Fredrik D. Johansson
Overcoming label shift in targeted federated learningby Edvin Listo Zec, Adam Breitholtz, Fredrik D. JohanssonFirst…
Summary of Point Processes with Event Time Uncertainty, by Xiuyuan Cheng et al.
Point processes with event time uncertaintyby Xiuyuan Cheng, Tingnan Gong, Yao XieFirst submitted to arxiv…
Summary of R+r:understanding Hyperparameter Effects in Dp-sgd, by Felix Morsbach et al.
R+R:Understanding Hyperparameter Effects in DP-SGDby Felix Morsbach, Jan Reubold, Thorsten StrufeFirst submitted to arxiv on:…
Summary of Analysis Of Regularized Federated Learning, by Langming Liu and Dingxuan Zhou
Analysis of regularized federated learningby Langming Liu, Dingxuan ZhouFirst submitted to arxiv on: 3 Nov…
Summary of Privacy-preserving Federated Learning with Differentially Private Hyperdimensional Computing, by Fardin Jalil Piran et al.
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computingby Fardin Jalil Piran, Zhiling Chen, Mohsen Imani,…
Summary of Learning and Transferring Sparse Contextual Bigrams with Linear Transformers, by Yunwei Ren et al.
Learning and Transferring Sparse Contextual Bigrams with Linear Transformersby Yunwei Ren, Zixuan Wang, Jason D.…
Summary of Trustworthiness Of Stochastic Gradient Descent in Distributed Learning, by Hongyang Li et al.
Trustworthiness of Stochastic Gradient Descent in Distributed Learningby Hongyang Li, Caesar Wu, Mohammed Chadli, Said…
Summary of Understanding Adam Requires Better Rotation Dependent Assumptions, by Lucas Maes et al.
Understanding Adam Requires Better Rotation Dependent Assumptionsby Lucas Maes, Tianyue H. Zhang, Alexia Jolicoeur-Martineau, Ioannis…
Summary of Error Estimates Between Sgd with Momentum and Underdamped Langevin Diffusion, by Arnaud Guillin (lmbp) et al.
Error estimates between SGD with momentum and underdamped Langevin diffusionby Arnaud Guillin, Yu Wang, Lihu…
Summary of Gradient Normalization Provably Benefits Nonconvex Sgd Under Heavy-tailed Noise, by Tao Sun et al.
Gradient Normalization Provably Benefits Nonconvex SGD under Heavy-Tailed Noiseby Tao Sun, Xinwang Liu, Kun YuanFirst…