FedPerm: Private and Robust Federated Learning by Parameter Permutation
Authors: Hamid Mozaffari, Virendra J. Marathe, Dave Dice | Published: 2022-08-16
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Practical Vertical Federated Learning with Unsupervised Representation Learning
Authors: Zhaomin Wu, Qinbin Li, Bingsheng He | Published: 2022-08-13
Efficient and Privacy Preserving Group Signature for Federated Learning
Authors: Sneha Kanchan, Jae Won Jang, Jun Yong Yoon, Bong Jun Choi | Published: 2022-07-12 | Updated: 2022-07-15
Secure Aggregation for Federated Learning in Flower
Authors: Kwing Hei Li, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Nicholas D. Lane | Published: 2022-05-12
Fusion: Efficient and Secure Inference Resilient to Malicious Servers
Authors: Caiqin Dong, Jian Weng, Jia-Nan Liu, Yue Zhang, Yao Tong, Anjia Yang, Yudan Cheng, Shun Hu | Published: 2022-05-06 | Updated: 2023-06-10
Federated Stochastic Primal-dual Learning with Differential Privacy
Authors: Yiwei Li, Shuai Wang, Tsung-Hui Chang, Chong-Yung Chi | Published: 2022-04-26
Mitigating Leakage from Data Dependent Communications in Decentralized Computing using Differential Privacy
Authors: Riad Ladjel, Nicolas Anciaux, Aurélien Bellet, Guillaume Scerri | Published: 2021-12-23
Reputation-based PoS for the Restriction of Illicit Activities on Blockchain: Algorand Usecase
Authors: Mayank Pandey, Rachit Agarwal, Sandeep Kumar Shukla, Nishchal Kumar Verma | Published: 2021-12-21 | Updated: 2022-08-25
Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors
Authors: Timothy Stevens, Christian Skalka, Christelle Vincent, John Ring, Samuel Clark, Joseph Near | Published: 2021-12-13
Does Fully Homomorphic Encryption Need Compute Acceleration?
Authors: Leo de Castro, Rashmi Agrawal, Rabia Yazicigil, Anantha Chandrakasan, Vinod Vaikuntanathan, Chiraag Juvekar, Ajay Joshi | Published: 2021-12-13 | Updated: 2021-12-14