Prompt Public Large Language Models to Synthesize Data for Private On-device Applications
Authors: Shanshan Wu, Zheng Xu, Yanxiang Zhang, Yuanbo Zhang, Daniel Ramage | Published: 2024-04-05 | Updated: 2024-08-07
連合学習
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning
Authors: K Naveen Kumar, C Krishna Mohan, Aravind Machiry | Published: 2024-04-05
Goldfish: An Efficient Federated Unlearning Framework
Authors: Houzhe Wang, Xiaojie Zhu, Chi Chen, Paulo Esteves-Veríssimo | Published: 2024-04-04 | Updated: 2024-04-23
Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing
Authors: Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan Werner | Published: 2024-03-19 | Updated: 2024-08-16
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning
Authors: Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi | Published: 2024-03-19
Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption
Authors: Xuanqi Liu, Zhuotao Liu, Qi Li, Ke Xu, Mingwei Xu | Published: 2024-03-17
Securing Federated Learning with Control-Flow Attestation: A Novel Framework for Enhanced Integrity and Resilience against Adversarial Attacks
Authors: Zahir Alsulaimawi | Published: 2024-03-15
Explainable Machine Learning-Based Security and Privacy Protection Framework for Internet of Medical Things Systems
Authors: Ayoub Si-ahmed, Mohammed Ali Al-Garadi, Narhimene Boustia | Published: 2024-03-14
Don’t Forget What I did?: Assessing Client Contributions in Federated Learning
Authors: Bishwamittra Ghosh, Debabrota Basu, Fu Huazhu, Wang Yuan, Renuga Kanagavelu, Jiang Jin Peng, Liu Yong, Goh Siow Mong Rick, Wei Qingsong | Published: 2024-03-11
Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains
Authors: Nikita Tsoy, Anna Mihalkova, Teodora Todorova, Nikola Konstantinov | Published: 2024-03-11 | Updated: 2024-11-07