Summary of Fedimpro: Measuring and Improving Client Update in Federated Learning, by Zhenheng Tang et al.
FedImpro: Measuring and Improving Client Update in Federated Learningby Zhenheng Tang, Yonggang Zhang, Shaohuai Shi,…
FedImpro: Measuring and Improving Client Update in Federated Learningby Zhenheng Tang, Yonggang Zhang, Shaohuai Shi,…
REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Modelsby Yinghao Zhu,…
Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical…
Corruption Robust Offline Reinforcement Learning with Human Feedbackby Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish…
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learningby Mahdi Naseri, Mahdi BiparvaFirst submitted to arxiv…
Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completionby Jianhao Ma, Salar FattahiFirst…
Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank…
Embedding Compression for Teacher-to-Student Knowledge Transferby Yiwei Ding, Alexander LerchFirst submitted to arxiv on: 9…
Generative Nowcasting of Marine Fog Visibility in the Grand Banks area and Sable Island in…
Transfer learning with generative models for object detection on limited datasetsby Matteo Paiano, Stefano Martina,…