"privacy-preserving learning" Papers
16 papers found
Conference
Class-wise Balancing Data Replay for Federated Class-Incremental Learning
Zhuang Qi, Ying-Peng Tang, Lei Meng et al.
NEURIPS 2025oralarXiv:2507.07712
1
citations
CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
Jiamu Zheng, Jinghuai Zhang, Tianyu Du et al.
ICLR 2025arXiv:2410.09508
Competitive Advantage Attacks to Decentralized Federated Learning
Yuqi Jia, Minghong Fang, Neil Gong
NEURIPS 2025arXiv:2310.13862
1
citations
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
Changlong Shi, Jinmeng Li, He Zhao et al.
ICLR 2025arXiv:2503.15111
3
citations
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields
Junhyeog Yun, Minui Hong, Gunhee Kim
ICCV 2025arXiv:2508.06301
Learn How to Query from Unlabeled Data Streams in Federated Learning
Yuchang Sun, Xinran Li, Tao Lin et al.
AAAI 2025paperarXiv:2412.08138
1
citations
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter
Zhengyi Zhong, Weidong Bao, Ji Wang et al.
CVPR 2025arXiv:2502.20709
15
citations
Unsupervised Federated Graph Learning
Lele Fu, Tianchi Liao, Sheng Huang et al.
NEURIPS 2025
A2XP: Towards Private Domain Generalization
Geunhyeok Yu, Hyoseok Hwang
CVPR 2024arXiv:2311.10339
2
citations
Balancing Similarity and Complementarity for Federated Learning
Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi et al.
ICML 2024arXiv:2405.09892
12
citations
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
Mengmeng Ma, Tang Li, Xi Peng
ICML 2024arXiv:2407.04949
7
citations
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
Sikai Bai, Jie ZHANG, Song Guo et al.
CVPR 2024arXiv:2403.08506
28
citations
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization
Khiem Le, Tuan Long Ho, Cuong Do et al.
CVPR 2024arXiv:2403.15605
17
citations
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
Shiwei Li, Wenchao Xu, Haozhao Wang et al.
ICML 2024arXiv:2408.03215
12
citations
Federated Causality Learning with Explainable Adaptive Optimization
Dezhi Yang, Xintong He, Jun Wang et al.
AAAI 2024paperarXiv:2312.05540
13
citations
FedMBridge: Bridgeable Multimodal Federated Learning
Jiayi Chen, Aidong Zhang
ICML 2024