Summary of Fedfa: a Fully Asynchronous Training Paradigm For Federated Learning, by Haotian Xu et al.
FedFa: A Fully Asynchronous Training Paradigm for Federated Learningby Haotian Xu, Zhaorui Zhang, Sheng Di,…
Summary of Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model, by Hao Yan et al.
Lightweight Unsupervised Federated Learning with Pretrained Vision Language Modelby Hao Yan, Yuhong GuoFirst submitted to…
Summary of Personalized Federated Learning Via Stacking, by Emilio Cantu-cervini
Personalized Federated Learning via Stackingby Emilio Cantu-CerviniFirst submitted to arxiv on: 16 Apr 2024CategoriesMain: Machine…
Summary of A Phone-based Distributed Ambient Temperature Measurement System with An Efficient Label-free Automated Training Strategy, by Dayin Chen et al.
A Phone-based Distributed Ambient Temperature Measurement System with An Efficient Label-free Automated Training Strategyby Dayin…
Summary of Privacy-enhanced Training-as-a-service For On-device Intelligence: Concept, Architectural Scheme, and Open Problems, by Zhiyuan Wu et al.
Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problemsby Zhiyuan Wu, Sheng Sun,…
Summary of Communication-efficient Hybrid Federated Learning For E-health with Horizontal and Vertical Data Partitioning, by Chong Yu et al.
Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioningby Chong Yu, Shuaiqi…
Summary of Fedp3: Federated Personalized and Privacy-friendly Network Pruning Under Model Heterogeneity, by Kai Yi et al.
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneityby Kai Yi, Nidham Gazagnadou, Peter…
Summary of Unsupervised Federated Optimization at the Edge: D2d-enabled Learning Without Labels, by Satyavrat Wagle et al.
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labelsby Satyavrat Wagle, Seyyedali Hosseinalipour, Naji…
Summary of Vflgan: Vertical Federated Learning-based Generative Adversarial Network For Vertically Partitioned Data Publication, by Xun Yuan and Yang Yang and Prosanta Gope and Aryan Pasikhani and Biplab Sikdar
VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publicationby Xun Yuan, Yang…
Summary of Hybrid Fedgraph: An Efficient Hybrid Federated Learning Algorithm Using Graph Convolutional Neural Network, by Jaeyeon Jang et al.
Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural networkby Jaeyeon Jang,…