Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecastingby Zhuoning Guo, Hao…
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Drivingby Wei-Bin Kou, Qingfeng Lin, Ming…
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-upsby Fengyu Gao, Ruiquan…
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needsby Yan Sun, Li Shen, Dacheng TaoFirst…
Hierarchical Federated ADMMby Seyed Mohammad Azimi-Abarghouyi, Nicola Bastianello, Karl H. Johansson, Viktoria FodorFirst submitted to…
In-depth Analysis of Privacy Threats in Federated Learning for Medical Databy Badhan Chandra Das, M.…
An Enhanced Federated Prototype Learning Method under Domain Shiftby Liang Kuang, Kuangpu Guo, Jian Liang,…
Hierarchical Federated Learning with Multi-Timescale Gradient Correctionby Wenzhi Fang, Dong-Jun Han, Evan Chen, Shiqiang Wang,…
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integrationby Mahdi Morafah, Vyacheslav Kungurtsev,…
HSTFL: A Heterogeneous Federated Learning Framework for Misaligned Spatiotemporal Forecastingby Shuowei Cai, Hao LiuFirst submitted…