Convergence Analysis of Natural Gradient Descent for Over-parameterized Physics-Informed Neural Networksby Xianliang Xu, Ting Du,…
Differentially Private Block-wise Gradient Shuffle for Deep Learningby David ZagardoFirst submitted to arxiv on: 31…
The Entrapment Problem in Random Walk Decentralized Learningby Zonghong Liu, Salim El Rouayheb, Matthew DwyerFirst…
Characterizing Dynamical Stability of Stochastic Gradient Descent in Overparameterized Learningby Dennis Chemnitz, Maximilian EngelFirst submitted…
Ordered Momentum for Asynchronous SGDby Chang-Wei Shi, Yi-Rui Yang, Wu-Jun LiFirst submitted to arxiv on:…
An Ad-hoc graph node vector embedding algorithm for general knowledge graphs using Kinetica-Graphby B. Kaan…
Weights Shuffling for Improving DPSGD in Transformer-based Modelsby Jungang Yang, Zhe Ji, Liyao XiangFirst submitted…
Regression under demographic parity constraints via unlabeled post-processingby Evgenii Chzhen, Mohamed Hebiri, Gayane TaturyanFirst submitted…
Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Databy Richard Osuala, Daniel M. Lang,…
Comparing Federated Stochastic Gradient Descent and Federated Averaging for Predicting Hospital Length of Stayby Mehmet…