2025 Poster "non-iid data" Papers

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FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields

Junhyeog Yun, Minui Hong, Gunhee Kim

ICCV 2025posterarXiv:2508.06301

FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization

Tianle Li, Yongzhi Huang, Linshan Jiang et al.

NEURIPS 2025poster
1
citations

OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction

Jie Yan, Jing Liu, Zhong-Yuan Zhang

NEURIPS 2025posterarXiv:2505.13071

PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models

Kyeongkook Seo, Dong-Jun Han, Jaejun Yoo

ICLR 2025posterarXiv:2503.08085
3
citations

Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning

Hung-Chieh Fang, Hsuan-Tien Lin, Irwin King et al.

ICCV 2025posterarXiv:2508.01251

SPFL: Sequential updates with Parallel aggregation for Enhanced Federated Learning under Category and Domain Shifts

Haoyuan Liang, Shilei Cao, Li et al.

NEURIPS 2025poster