"privacy-preserving learning" Papers
9 papers found
Competitive Advantage Attacks to Decentralized Federated Learning
Yuqi Jia, Minghong Fang, Neil Gong
NeurIPS 2025posterarXiv:2310.13862
1
citations
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
Changlong Shi, Jinmeng Li, He Zhao et al.
ICLR 2025posterarXiv:2503.15111
2
citations
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter
Zhengyi Zhong, Weidong Bao, Ji Wang et al.
CVPR 2025posterarXiv:2502.20709
13
citations
Unsupervised Federated Graph Learning
Lele Fu, Tianchi Liao, Sheng Huang et al.
NeurIPS 2025poster
Balancing Similarity and Complementarity for Federated Learning
Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi et al.
ICML 2024posterarXiv:2405.09892
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
Mengmeng Ma, Tang Li, Xi Peng
ICML 2024poster
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
Shiwei Li, Wenchao Xu, Haozhao Wang et al.
ICML 2024poster
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 2024poster