Summary of Federated Fairness Analytics: Quantifying Fairness in Federated Learning, by Oscar Dilley et al.
Federated Fairness Analytics: Quantifying Fairness in Federated Learningby Oscar Dilley, Juan Marcelo Parra-Ullauri, Rasheed Hussain,…
Federated Fairness Analytics: Quantifying Fairness in Federated Learningby Oscar Dilley, Juan Marcelo Parra-Ullauri, Rasheed Hussain,…
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalizationby Shunxin Guo, Hongsong Wang, Shuxia Lin,…
Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated Learningby…
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacherby Alessio Mora, Lorenzo Valerio, Paolo Bellavista,…
FedRobo: Federated Learning Driven Autonomous Inter Robots Communication For Optimal Chemical Spraysby Jannatul Ferdaus, Sameera…
Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learningby Jieming Bian, Lei Wang, Jie XuFirst…
Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretabilityby…
On the Convergence of a Federated Expectation-Maximization Algorithmby Zhixu Tao, Rajita Chandak, Sanjeev KulkarniFirst submitted…
Online-Score-Aided Federated Learning: Taming the Resource Constraints in Wireless Networksby Md Ferdous Pervej, Minseok Choi,…