Summary of Federated Binary Matrix Factorization Using Proximal Optimization, by Sebastian Dalleiger et al.
Federated Binary Matrix Factorization using Proximal Optimizationby Sebastian Dalleiger, Jilles Vreeken, Michael KampFirst submitted to…
Federated Binary Matrix Factorization using Proximal Optimizationby Sebastian Dalleiger, Jilles Vreeken, Michael KampFirst submitted to…
Maze Discovery using Multiple Robots via Federated Learningby Kalpana Ranasinghe, H.P. Madushanka, Rafaela Scaciota, Sumudu…
MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysisby Luyuan Xie,…
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decompositionby Xinghao Wu,…
Personalized Interpretation on Federated Learning: A Virtual Concepts approachby Peng Yan, Guodong Long, Jing Jiang,…
FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learningby Alexander Herzog, Robbie Southam, Ioannis Mavromatis, Aftab…
FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneityby Zhaobin Sun, Nannan Wu, Junjie Shi,…
QBI: Quantile-Based Bias Initialization for Efficient Private Data Reconstruction in Federated Learningby Micha V. Nowak,…
Enhancing Federated Learning with Adaptive Differential Privacy and Priority-Based Aggregationby Mahtab Talaei, Iman IzadiFirst submitted…
FedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantizationby Linping Qu, Shenghui…