Summary of Federated Block-term Tensor Regression For Decentralised Data Analysis in Healthcare, by Axel Faes et al.
Federated Block-Term Tensor Regression for decentralised data analysis in healthcareby Axel Faes, Ashkan Pirmani, Yves…
Summary of Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks, by Junhe Zhang et al.
Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networksby Junhe Zhang, Wanli…
Summary of A Cautionary Tale on the Cost-effectiveness Of Collaborative Ai in Real-world Medical Applications, by Francesco Cremonesi et al.
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applicationsby Francesco Cremonesi,…
Summary of H-fedsn: Personalized Sparse Networks For Efficient and Accurate Hierarchical Federated Learning For Iot Applications, by Jiechao Gao et al.
H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applicationsby Jiechao…
Summary of Dapperfl: Domain Adaptive Federated Learning with Model Fusion Pruning For Edge Devices, by Yongzhe Jia et al.
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devicesby Yongzhe Jia, Xuyun…
Summary of Upcycling Noise For Federated Unlearning, by Jianan Chen et al.
Upcycling Noise for Federated Unlearningby Jianan Chen, Qin Hu, Fangtian Zhong, Yan Zhuang, Minghui XuFirst…
Summary of Privacy Drift: Evolving Privacy Concerns in Incremental Learning, by Sayyed Farid Ahamed et al.
Privacy Drift: Evolving Privacy Concerns in Incremental Learningby Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy,…
Summary of One-shot Federated Learning Via Synthetic Distiller-distillate Communication, by Junyuan Zhang et al.
One-shot Federated Learning via Synthetic Distiller-Distillate Communicationby Junyuan Zhang, Songhua Liu, Xinchao WangFirst submitted to…
Summary of Feddual: a Dual-strategy with Adaptive Loss and Dynamic Aggregation For Mitigating Data Heterogeneity in Federated Learning, by Pranab Sahoo et al.
FedDUAL: A Dual-Strategy with Adaptive Loss and Dynamic Aggregation for Mitigating Data Heterogeneity in Federated…
Summary of Federated Automated Feature Engineering, by Tom Overman et al.
Federated Automated Feature Engineeringby Tom Overman, Diego KlabjanFirst submitted to arxiv on: 5 Dec 2024CategoriesMain:…