Summary of Ua-pdfl: a Personalized Approach For Decentralized Federated Learning, by Hangyu Zhu et al.
UA-PDFL: A Personalized Approach for Decentralized Federated Learningby Hangyu Zhu, Yuxiang Fan, Zhenping XieFirst submitted…
UA-PDFL: A Personalized Approach for Decentralized Federated Learningby Hangyu Zhu, Yuxiang Fan, Zhenping XieFirst submitted…
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Bayesian Flow Is All You Need to Sample Out-of-Distribution Chemical Spacesby Nianze TaoFirst submitted to…
Universal Domain Adaptive Object Detection via Dual Probabilistic Alignmentby Yuanfan Zheng, Jinlin Wu, Wuyang Li,…
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learningby Gangqiang Hu, Jianfeng Lu, Jianmin Han, Shuqin…
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noiseby Bikram Khanal, Pablo RivasFirst submitted to…
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimizationby Nobuo Namura, Sho…
Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processingby Maria Efimovich,…
Understanding Knowledge Hijack Mechanism in In-context Learning through Associative Memoryby Shuo Wang, Issei SatoFirst submitted…