Summary of Embracing Federated Learning: Enabling Weak Client Participation Via Partial Model Training, by Sunwoo Lee et al.
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Trainingby Sunwoo Lee, Tuo Zhang,…
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Trainingby Sunwoo Lee, Tuo Zhang,…
Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architectureby Zhengxin Yang, Wanling Gao, Luzhou…
Generative Topological Networksby Alona Levy-Jurgenson, Zohar YakhiniFirst submitted to arxiv on: 21 Jun 2024CategoriesMain: Machine…
Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNsby Steve Azzolin, Antonio…
Backdooring Bias into Text-to-Image Modelsby Ali Naseh, Jaechul Roh, Eugene Bagdasaryan, Amir HoumansadrFirst submitted to…
Synthetic Lyrics Detection Across Languages and Genresby Yanis Labrak, Markus Frohmann, Gabriel Meseguer-Brocal, Elena V.…
Unsupervised Morphological Tree Tokenizerby Qingyang Zhu, Xiang Hu, Pengyu Ji, Wei Wu, Kewei TuFirst submitted…
AdaGrad under Anisotropic Smoothnessby Yuxing Liu, Rui Pan, Tong ZhangFirst submitted to arxiv on: 21…
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detectionby Austin Coursey, Junyi Ji, Marcos…
Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learningby Sattar VakiliFirst submitted to arxiv…