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The rise of connected personal devices together with privacy concerns call for machine learning algorithms capable of leveraging the data of a large number of agents to learn personalized models under strong privacy requirements.
Regularized multi-task learning
Evgeniou, T. and Pontil, M. (2004) · 2004
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On Private Scalar Product Computation for Privacy-Preserving Data Mining
Goethals, B., Laur, S., Lipmaa, H., and Mielikäinen, T. (2004) · 2004
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Randomized gossip algorithms
Boyd, S., Ghosh, A., Prabhakar, B., and Shah, D. (2006) · 2006
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Differential Privacy
Dwork, C. (2006) · 2006
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Calibrating Noise to Sensitivity in Private Data Analysis
Dwork, C., McSherry, F., Nissim, K., and Smith, A. (2006) · 2006
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The Rademacher Complexity of Linear Transformation Classes
Maurer, A. (2006) · 2006
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Large-Scale Parallel Collaborative Filtering for the Netflix Prize
Zhou, Y., Wilkinson, D. M., Schreiber, R., and Pan, R. (2008) · 2008
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Broadcast Gossip Algorithms for Consensus
Aysal, T. C., Yildiz, M. E., Sarwate, A. D., and Scaglione, A. (2009) · 2009
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Distributed Subgradient Methods for Multi-Agent Optimization
Nedic, A. and Ozdaglar, A. E. (2009) · 2009
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Boosting and Differential Privacy
Dwork, C., Rothblum, G. N., and Vadhan, S. (2010) · 2010
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The Limits of Two-Party Differential Privacy
McGregor, A., Mironov, I., Pitassi, T., Reingold, O., Talwar, K., and Vadhan, S. (2010) · 2010
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Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers
Pathak, M. A., Rane, S., and Raj, B. (2010) · 2010
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Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization
Ram, S. S., Nedic, A., and Veeravalli, V. V. (2010) · 2010
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Private Similarity Computation in Distributed Systems: from Cryptography to Differential Privacy
Alaggan, M., Gambs, S., and Kermarrec, A.-M. (2011) · 2011
Cited alongside, same era.
Differentially Private Empirical Risk Minimization
Chaudhuri, K., Monteleoni, C., and Sarwate, A. D. (2011) · 2011
Cited alongside, same era.
Semi-supervised multi-task learning of structured prediction models for web information extraction
Dhillon, P. S., Sellamanickam, S., and Selvaraj, S. K. (2011) · 2011
Cited alongside, same era.
Asynchronous Broadcast-Based Convex Optimization Over a Network
Nedic, A. (2011) · 2011
Cited alongside, same era.
Privacy Aware Learning
Duchi, J. C., Jordan, M. I., and Wainwright, M. J. (2012) · 2012
Cited alongside, same era.
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
Rajkumar, A. and Agarwal, S. (2012) · 2012
The Composition Theorem for Differential Privacy
Kairouz, P., Oh, S., and Viswanath, P. (2015) · 2015
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Want to scale in centralized systems? Think P2P
Kermarrec, A.-M. and Taïani, F. (2015) · 2015
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Privacy-Preserving Deep Learning
Shokri, R. and Shmatikov, V. (2015) · 2015
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Coordinate descent algorithms
Wright, S. J. (2015) · 2015
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Deep Learning with Differential Privacy
Abadi, M., Chu, A., Goodfellow, I. J., McMahan, H. B., Mironov, I., Talwar, K., and Zhang, L. (2016) · 2016
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Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions
Colin, I., Bellet, A., Salmon, J., and Clémençon, S. (2016) · 2016
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Cited alongside, same era.
Distributed Alternating Direction Method of Multipliers
Wei, E. and Ozdaglar, A. E. (2012) · 2012
Cited alongside, same era.
Stochastic gradient descent with differentially private updates
Song, S., Chaudhuri, K., and Sarwate, A. D. (2013) · 2013
Cited alongside, same era.
On the O(1/k) Convergence of Asynchronous Distributed Alternating Direction Method of Multipliers
Wei, E. and Ozdaglar, A. E. (2013) · 2013
Cited alongside, same era.
Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds
Bassily, R., Smith, A. D., and Thakurta, A. (2014) · 2014
Cited alongside, same era.
The Algorithmic Foundations of Differential Privacy
Dwork, C. and Roth, A. (2014) · 2014
Cited alongside, same era.
Differentially Private Distributed Optimization
Huang, Z., Mitra, S., and Vaidya, N. (2015) · 2015
Cited alongside, same era.
Learning privately from multiparty data
Hamm, J., Cao, Y., and Belkin, M. (2016) · 2016
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Extremal Mechanisms for Local Differential Privacy
Kairouz, P., Oh, S., and Viswanath, P. (2016) · 2016
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Wearable continuous glucose monitoring sensors: A revolution in diabetes treatment
Cappon, G., Acciaroli, G., Vettoretti, M., Facchinetti, A., and Sparacino, G. (2017) · 2017
Closest in time.
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Hitaj, B., Ateniese, G., and Perez-Cruz, F. (2017) · 2017
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Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
Lian, X., Zhang, C., Zhang, H., Hsieh, C.-J., Zhang, W., and Liu, J. (2017) · 2017
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Decentralized Collaborative Learning of Personalized Models over Networks
Vanhaesebrouck, P., Bellet, A., and Tommasi, M. (2017) · 2017
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