DJAM: Distributed Jacobi Asynchronous Method for Learning Personal Models, IEEE Signal Processing Letters, vol.25, issue.9, pp.1389-1392, 2018. ,
DOI : 10.1109/lsp.2018.2859596
URL : http://arxiv.org/pdf/1803.09737
A public domain dataset for human activity recognition using smartphones, ESANN, 2013. ,
Asynchronous Multi-task Learning, ICDM, 2016. ,
DOI : 10.1109/icdm.2016.0012
URL : http://arxiv.org/pdf/1609.09563
Personalized and Private Peer-to-Peer Machine Learning, AISTATS, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01745796
Graph Learning Based on Total Variation Minimization, ICASSP, 2018. ,
DOI : 10.1109/icassp.2018.8461603
Randomized gossip algorithms, IEEE Transactions on Information Theory, vol.52, issue.6, pp.2508-2530, 2006. ,
Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm, ACM Transactions on Algorithms, vol.6, issue.4, pp.1-30, 2010. ,
Gossip dual averaging for decentralized optimization of pairwise functions, ICML, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01329315
Semisupervised multi-task learning of structured prediction models for web information extraction, CIKM, pp.957-966, 2011. ,
Learning Laplacian matrix in smooth graph signal representations, IEEE Transactions on Signal Processing, vol.64, issue.23, pp.6160-6173, 2016. ,
Vehicle classification in distributed sensor networks, Journal of Parallel and Distributed Computing, vol.64, issue.7, pp.826-838, 2004. ,
Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling, IEEE Transactions on Automatic Control, vol.57, issue.3, pp.592-606, 2012. ,
, Cynthia Dwork. Differential Privacy. In ICALP, vol.2, 2006.
Regularized multi-task learning, KDD, 2004. ,
DOI : 10.1145/1014052.1014067
An algorithm for quadratic programming, Naval Research Logistics (NRL), vol.3, pp.95-110, 1956. ,
Greedy function approximation: A gradient boosting machine, The Annals of Statistics, vol.29, issue.5, pp.1189-1232, 2001. ,
Multilevel modelling of survey data, Journal of the Royal Statistical Society. Series D (The Statistician), vol.40, issue.2, pp.235-244, 1991. ,
Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization, ICML, 2013. ,
Gossip-based peer sampling, ACM Trans. Comput. Syst, vol.25, issue.3, 2007. ,
Collaborative Deep Learning in Fixed Topology Networks, NIPS, 2017. ,
How to learn a graph from smooth signals, AISTATS, 2016. ,
Federated learning: Strategies for improving communication efficiency, 2016. ,
Compiling Combinatorial Prediction Games, ICML, 2018. ,
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs, ICML, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00720158
D-FW: Communication efficient distributed algorithms for high-dimensional sparse optimization, ICASSP, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01419048
Distributed Multi-task Learning for Sensor Network, ECML/PKDD, 2017. ,
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent, NIPS, 2017. ,
The Rademacher Complexity of Linear Transformation Classes, COLT, 2006. ,
Communication-efficient learning of deep networks from decentralized data, AISTATS, 2017. ,
A unified convergence analysis of block successive minimization methods for nonsmooth optimization, SIAM Journal on Optimization, vol.23, issue.2, pp.1126-1153, 2013. ,
Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function, Mathematical Programming, vol.144, issue.1-2, pp.1-38, 2014. ,
On the dual formulation of boosting algorithms, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.12, pp.2216-2231, 2010. ,
Federated MultiTask Learning, NIPS, 2017. ,
D 2 : Decentralized Training over Decentralized Data, ICML, 2018. ,
Convergence of a block coordinate descent method for nondifferentiable minimization, Journal of Optimization Theory and Applications, vol.109, issue.3, pp.475-494, 2001. ,
Block-coordinate gradient descent method for linearly constrained nonsmooth separable optimization, Journal of Optimization Theory and Applications, vol.140, issue.3, pp.140-513, 2009. ,
Decentralized Collaborative Learning of Personalized Models over Networks, AISTATS, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01383544
Functional Frank-Wolfe Boosting for General Loss Functions, 2015. ,
Distributed Multi-Task Learning with Shared Representation, 2016. ,
Distributed Multitask Learning, AISTATS, 2016. ,
Distributed Alternating Direction Method of Multipliers, CDC, 2012. ,
Coordinate descent algorithms, Mathematical Programming, vol.151, issue.1, pp.3-34, 2015. ,