Summary of Vflip: a Backdoor Defense For Vertical Federated Learning Via Identification and Purification, by Yungi Cho et al.
VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purificationby Yungi Cho, Woorim…
Summary of Exploring Selective Layer Fine-tuning in Federated Learning, by Yuchang Sun and Yuexiang Xie and Bolin Ding and Yaliang Li and Jun Zhang
Exploring Selective Layer Fine-Tuning in Federated Learningby Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li,…
Summary of Decentralized Federated Learning with Model Caching on Mobile Agents, by Xiaoyu Wang et al.
Decentralized Federated Learning with Model Caching on Mobile Agentsby Xiaoyu Wang, Guojun Xiong, Houwei Cao,…
Summary of Neighborhood and Global Perturbations Supported Sam in Federated Learning: From Local Tweaks to Global Awareness, by Boyuan Li et al.
Neighborhood and Global Perturbations Supported SAM in Federated Learning: From Local Tweaks To Global Awarenessby…
Summary of Fedglu: a Personalized Federated Learning-based Glucose Forecasting Algorithm For Improved Performance in Glycemic Excursion Regions, by Darpit Dave et al.
FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regionsby…
Summary of Towards Case-based Interpretability For Medical Federated Learning, by Laura Latorre et al.
Towards Case-based Interpretability for Medical Federated Learningby Laura Latorre, Liliana Petrychenko, Regina Beets-Tan, Taisiya Kopytova,…
Summary of A Web-based Solution For Federated Learning with Llm-based Automation, by Chamith Mawela and Chaouki Ben Issaid and Mehdi Bennis
A Web-Based Solution for Federated Learning with LLM-Based Automationby Chamith Mawela, Chaouki Ben Issaid, Mehdi…
Summary of Weight Scope Alignment: a Frustratingly Easy Method For Model Merging, by Yichu Xu et al.
Weight Scope Alignment: A Frustratingly Easy Method for Model Mergingby Yichu Xu, Xin-Chun Li, Le…
Summary of Tackling Data Heterogeneity in Federated Learning Via Loss Decomposition, by Shuang Zeng et al.
Tackling Data Heterogeneity in Federated Learning via Loss Decompositionby Shuang Zeng, Pengxin Guo, Shuai Wang,…
Summary of Rfid Based Health Adherence Medicine Case Using Fair Federated Learning, by Ali Kamrani Khodaei et al.
RFID based Health Adherence Medicine Case Using Fair Federated Learningby Ali Kamrani khodaei, Sina Hajer…