Summary of Sdba: a Stealthy and Long-lasting Durable Backdoor Attack in Federated Learning, by Minyeong Choe et al.
SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated Learningby Minyeong Choe, Cheolhee Park,…
Summary of Isometric Immersion Learning with Riemannian Geometry, by Zihao Chen et al.
Isometric Immersion Learning with Riemannian Geometryby Zihao Chen, Wenyong Wang, Yu XiangFirst submitted to arxiv…
Summary of Disentanglement with Factor Quantized Variational Autoencoders, by Gulcin Baykal et al.
Disentanglement with Factor Quantized Variational Autoencodersby Gulcin Baykal, Melih Kandemir, Gozde UnalFirst submitted to arxiv…
Summary of Varade: a Variational-based Autoregressive Model For Anomaly Detection on the Edge, by Alessio Mascolini et al.
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edgeby Alessio Mascolini, Sebastiano Gaiardelli,…
Summary of Orthogonal Finetuning For Direct Preference Optimization, by Chenxu Yang et al.
Orthogonal Finetuning for Direct Preference Optimizationby Chenxu Yang, Ruipeng Jia, Naibin Gu, Zheng Lin, Siyuan…
Summary of Embedding Knowledge Graph in Function Spaces, by Louis Mozart Kamdem Teyou and Caglar Demir and Axel-cyrille Ngonga Ngomo
Embedding Knowledge Graph in Function Spacesby Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga NgomoFirst…
Summary of Testing Dependency Of Weighted Random Graphs, by Mor Oren and Vered Paslev and Wasim Huleihel
Testing Dependency of Weighted Random Graphsby Mor Oren, Vered Paslev, Wasim HuleihelFirst submitted to arxiv…
Summary of Novel Gradient Sparsification Algorithm Via Bayesian Inference, by Ali Bereyhi and Ben Liang and Gary Boudreau and Ali Afana
Novel Gradient Sparsification Algorithm via Bayesian Inferenceby Ali Bereyhi, Ben Liang, Gary Boudreau, Ali AfanaFirst…
Summary of Kriformer: a Novel Spatiotemporal Kriging Approach Based on Graph Transformers, by Renbin Pan et al.
Kriformer: A Novel Spatiotemporal Kriging Approach Based on Graph Transformersby Renbin Pan, Feng Xiao, Hegui…
Summary of Fastgl: a Gpu-efficient Framework For Accelerating Sampling-based Gnn Training at Large Scale, by Zeyu Zhu et al.
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scaleby Zeyu Zhu, Peisong…