"non-i.i.d. data" Papers
6 papers found
Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation
Ting Wei, Biao Mei, Junliang Lyu et al.
NeurIPS 2025posterarXiv:2505.14161
1
citations
Realistic Test-Time Adaptation of Vision-Language Models
Maxime Zanella, Clément Fuchs, Christophe De Vleeschouwer et al.
CVPR 2025highlightarXiv:2501.03729
Balancing Similarity and Complementarity for Federated Learning
Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi et al.
ICML 2024poster
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
Shusen Jing, Anlan Yu, Shuai Zhang et al.
ICML 2024poster
On the Consistency of Kernel Methods with Dependent Observations
Pierre-François Massiani, Sebastian Trimpe, Friedrich Solowjow
ICML 2024poster
PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs
Deividas Eringis, John Leth, Zheng-Hua Tan et al.
AAAI 2024paperarXiv:2312.09793
3
citations