Co-occurring keywords · papers mentioning both
Papers
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning
AAAI 2025
Janus: Dual-Server Multi-Round Secure Aggregation with Verifiability for Federated Learning
ICML 2025
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning
NeurIPS 2024
Federated Experiment Design under Distributed Differential Privacy
AISTATS 2024
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
ICLR 2024
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation
NeurIPS 2024
Federated Heavy Hitter Recovery under Linear Sketching
ICML 2023
Machine Unlearning of Federated Clusters
ICLR 2023
Private Federated Learning with Autotuned Compression
ICML 2023
Robust and Actively Secure Serverless Collaborative Learning
NeurIPS 2023
Secure Federated Correlation Test and Entropy Estimation
ICML 2023
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
AAAI 2023
SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning.
ICML 2023
The communication cost of security and privacy in federated frequency estimation
AISTATS 2023
The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning
CVPR 2023
zPROBE: Zero Peek Robustness Checks for Federated Learning
ICCV 2023
Federated Learning with Buffered Asynchronous Aggregation
AISTATS 2022
SASH: Efficient secure aggregation based on SHPRG for federated learning
UAI 2022
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
ICML 2022
The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation
ICML 2022
A Secure and Efficient Federated Learning Framework for NLP
EMNLP 2021
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation
EMNLP 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix
ICML 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
ICML 2021
The Skellam Mechanism for Differentially Private Federated Learning
NeurIPS 2021