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Publication search results
found 318 matches
- 2024
- Digvijay Boob, Cristóbal Guzmán:
Optimal algorithms for differentially private stochastic monotone variational inequalities and saddle-point problems. Math. Program. 204(1): 255-297 (2024) - Juntaek Lim, Youngeun Kwon, Ranggi Hwang, Kiwan Maeng, G. Edward Suh, Minsoo Rhu:
LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models. ASPLOS (2) 2024: 616-630 - Xintao Xia, Linjun Zhang, Zhanrui Cai:
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm. CoRR abs/2401.08150 (2024) - Girish Kumar, Thomas Strohmer, Roman Vershynin:
An Algorithm for Streaming Differentially Private Data. CoRR abs/2401.14577 (2024) - Ruqing Xu:
Persuasion, Delegation, and Private Information in Algorithm-Assisted Decisions. CoRR abs/2402.09384 (2024) - Ajinkya Kiran Mulay, Xiaojun Lin:
SPriFed-OMP: A Differentially Private Federated Learning Algorithm for Sparse Basis Recovery. CoRR abs/2402.19016 (2024) - Tomás González, Cristóbal Guzmán, Courtney Paquette:
Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems. CoRR abs/2403.02912 (2024) - Weiqiang He, Hendrik Fichtenberger, Pan Peng:
A Differentially Private Clustering Algorithm for Well-Clustered Graphs. CoRR abs/2403.14332 (2024) - 2023
- Syed Eqbal Alam, Dhirendra Shukla, Shrisha Rao:
A Communication-Efficient Local Differentially Private Algorithm in Federated Optimization. IEEE Access 11: 58254-58268 (2023) - Shlomi Dolev, Thomas Petig, Elad Michael Schiller:
Self-Stabilizing and Private Distributed Shared Atomic Memory in Seldomly Fair Message Passing Networks. Algorithmica 85(1): 216-276 (2023) - Yi-Wei Wang, Ja-Ling Wu:
A Privacy-Preserving Symptoms Retrieval System with the Aid of Homomorphic Encryption and Private Set Intersection Schemes. Algorithms 16(5): 244 (2023) - Vladimir Dvorkin, Audun Botterud:
Differentially Private Algorithms for Synthetic Power System Datasets. IEEE Control. Syst. Lett. 7: 2053-2058 (2023) - Qingtao Wu, Meiwen Li, Junlong Zhu, Ruijuan Zheng, Ling Xing, Mingchuan Zhang:
DP-RBAdaBound: A differentially private randomized block-coordinate adaptive gradient algorithm for training deep neural networks. Expert Syst. Appl. 211: 118574 (2023) - Meng Yuan, Jinlong Lei, Yiguang Hong:
Differentially private distributed online mirror descent algorithm. Neurocomputing 551: 126531 (2023) - Dunkai Zhou, Jinsong Zhou:
Research on private desktop cloud platform based on random scheduling algorithm and load balancing scheduling algorithm. Int. J. Wirel. Mob. Comput. 25(1): 37-46 (2023) - Thomas Humphries, Florian Kerschbaum:
Differentially Private Simple Genetic Algorithms. Proc. Priv. Enhancing Technol. 2023(4): 540-558 (2023) - Pengbo Liu, Xingyuan Wang, Yining Su, Huipeng Liu, Salahuddin Unar:
Globally Coupled Private Image Encryption Algorithm Based on Infinite Interval Spatiotemporal Chaotic System. IEEE Trans. Circuits Syst. I Regul. Pap. 70(6): 2511-2522 (2023) - Sina Shaham, Gabriel Ghinita, Ritesh Ahuja, John Krumm, Cyrus Shahabi:
HTF: Homogeneous Tree Framework for Differentially Private Release of Large Geospatial Datasets with Self-tuning Structure Height. ACM Trans. Spatial Algorithms Syst. 9(4): 25:1-25:30 (2023) - Jeremiah Blocki, Elena Grigorescu, Tamalika Mukherjee, Samson Zhou:
How to Make Your Approximation Algorithm Private: A Black-Box Differentially-Private Transformation for Tunable Approximation Algorithms of Functions with Low Sensitivity. APPROX/RANDOM 2023: 59:1-59:24 - Ding Sanjun, Amit Yadav, Asif Khan, Dakshina Yadav:
Analysis of Learning Internal Drive of Private University Students Based on K_Means Clustering Algorithm. OCIT 2023: 703-707 - Kushagra Chandak, Bingshan Hu, Nidhi Hegde:
Differentially Private Algorithms for Efficient Online Matroid Optimization. CoLLAs 2023: 66-88 - Raef Bassily, Cristóbal Guzmán, Michael Menart:
Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap. COLT 2023: 2482-2508 - Yiyun He, Roman Vershynin, Yizhe Zhu:
Algorithmically Effective Differentially Private Synthetic Data. COLT 2023: 3941-3968 - Rohith Kuditipudi, John C. Duchi, Saminul Haque:
A Pretty Fast Algorithm for Adaptive Private Mean Estimation. COLT 2023: 2511-2551 - Marah Mohammed Taha, Mafaz Alanezi:
An optimized Byzantine Fault Tolerance Algorithm via MAC for Private Blockchain. DeSE 2023: 522-527 - Xiongfei Li, Sichen Dong, Shuyu Li:
A differentially private non-overlapping community detection method based on improved Louvain algorithm. DSIT 2023: 7-12 - Di Wang, Jiahao Ding, Lijie Hu, Zejun Xie, Miao Pan, Jinhui Xu:
Finite Sample Guarantees of Differentially Private Expectation Maximization Algorithm. ECAI 2023: 2435-2442 - S. Ranjith Kumar Reddy, S. Radhika:
Demand Prediction Of Private Cars With Parallel Multi-Task Learning Model Using Ridge Linear Classification In Comparison With K-Nearest Neighbour Algorithm For Better Accuracy. IC3I 2023: 1483-1486 - Wei Wu, Chang Liu, Pengfei Sun, Li Tang, Yang Yu:
A Routing Algorithm Based on Prioritized Replay Double DQN for Private Internet of Things. ICCC 2023: 1-6 - Ximing Li, Chendi Wang, Guang Cheng:
Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms. ICLR 2023
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