Byzantine-Robust Aggregation for Securing Decentralized Federated Learningby Diego Cajaraville-Aboy, Ana Fernández-Vilas, Rebeca P. Díaz-Redondo, Manuel…
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoEby Xun Zhu, Ying…
Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approachby Ruo Yang, Binghui Wang,…
Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscapeby Tao Li, Zhengbao He, Yujun Li, Yasheng…
Recovering Global Data Distribution Locally in Federated Learningby Ziyu YaoFirst submitted to arxiv on: 21…
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Modelsby Keyu…
Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classificationby Eslam Eldeeb, Mohammad Shehab,…
Unraveling the Hessian: A Key to Smooth Convergence in Loss Function Landscapesby Nikita Kiselev, Andrey…
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with…
Are Deep Learning Models Robust to Partial Object Occlusion in Visual Recognition Tasks?by Kaleb Kassaw,…