Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Drivingby Wei-Bin Kou, Qingfeng Lin, Ming…
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Methodby Bikang Pan, Wei Huang, Ye…
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-upsby Fengyu Gao, Ruiquan…
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.…
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needsby Yan Sun, Li Shen, Dacheng TaoFirst…
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…