Summary of Mobile Application For Oral Disease Detection Using Federated Learning, by Shankara Narayanan V et al.
Mobile Application for Oral Disease Detection using Federated Learningby Shankara Narayanan V, Sneha Varsha M,…
Summary of Knfu: Effective Knowledge Fusion, by S. Jamal Seyedmohammadi et al.
KnFu: Effective Knowledge Fusionby S. Jamal Seyedmohammadi, S. Kawa Atapour, Jamshid Abouei, Arash MohammadiFirst submitted…
Summary of Fedspu: Personalized Federated Learning For Resource-constrained Devices with Stochastic Parameter Update, by Ziru Niu et al.
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Updateby Ziru Niu, Hai Dong,…
Summary of Federated Transfer Learning with Differential Privacy, by Mengchu Li et al.
Federated Transfer Learning with Differential Privacyby Mengchu Li, Ye Tian, Yang Feng, Yi YuFirst submitted…
Summary of Fagh: Accelerating Federated Learning with Approximated Global Hessian, by Mrinmay Sen et al.
FAGH: Accelerating Federated Learning with Approximated Global Hessianby Mrinmay Sen, A. K. Qin, Krishna Mohan…
Summary of Fedcomloc: Communication-efficient Distributed Training Of Sparse and Quantized Models, by Kai Yi et al.
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Modelsby Kai Yi, Georg Meinhardt, Laurent Condat,…
Summary of Da-pfl: Dynamic Affinity Aggregation For Personalized Federated Learning, by Xu Yang et al.
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learningby Xu Yang, Jiyuan Feng, Songyue Guo, Ye…
Summary of Taming Cross-domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains, by Lei Wang et al.
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domainsby Lei Wang, Jieming…
Summary of Learning From Straggler Clients in Federated Learning, by Andrew Hard et al.
Learning from straggler clients in federated learningby Andrew Hard, Antonious M. Girgis, Ehsan Amid, Sean…
Summary of Diprompt: Disentangled Prompt Tuning For Multiple Latent Domain Generalization in Federated Learning, by Sikai Bai et al.
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learningby Sikai Bai, Jie…