A. Boutet, D. Frey, R. Guerraoui, A. Jégou, and A. Kermarrec, WHATSUP: A Decentralized Instant News Recommender, 2013 IEEE 27th International Symposium on Parallel and Distributed Processing, pp.741-752, 2013.
DOI : 10.1109/IPDPS.2013.47

A. Boutet, D. Frey, R. Guerraoui, A. Kermarrec, and R. Patra, HyRec, Proceedings of the 15th International Middleware Conference on, Middleware '14, pp.85-96, 2014.
DOI : 10.1145/2663165.2663315

URL : https://hal.archives-ouvertes.fr/hal-01080016

S. Boyd, A. Ghosh, B. Prabhakar, and D. Shah, Randomized gossip algorithms, IEEE Transactions on Information Theory, vol.52, issue.6, pp.142508-2530, 2006.
DOI : 10.1109/TIT.2006.874516

S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein, Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers, Machine Learning, pp.1-122, 2011.
DOI : 10.1561/2200000016

R. Caruana, Multitask Learning, Machine Learning, pp.41-75, 1997.
DOI : 10.1007/978-1-4615-5529-2_5

I. Colin, A. Bellet, J. Salmon, C. , and S. , Extending Gossip Algorithms to Distributed Estimation of U-statistics, Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS), 2015.
URL : https://hal.archives-ouvertes.fr/hal-01214665

I. Colin, A. Bellet, J. Salmon, C. , and S. , Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions, Proceedings of the 33rd International Conference on Machine Learning (ICML), 2016.
URL : https://hal.archives-ouvertes.fr/hal-01329315

A. G. Dimakis, S. Kar, J. M. Moura, M. G. Rabbat, and A. Scaglione, Gossip Algorithms for Distributed Signal Processing, Proceedings of the IEEE, pp.981847-1864, 2010.
DOI : 10.1109/JPROC.2010.2052531

J. C. Duchi, A. Agarwal, and M. J. Wainwright, Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling, IEEE Transactions on Automatic Control, vol.57, issue.3, pp.592-606, 2012.
DOI : 10.1109/TAC.2011.2161027

F. Iutzeler, P. Bianchi, P. Ciblat, and W. Hachem, Asynchronous distributed optimization using a randomized alternating direction method of multipliers, 52nd IEEE Conference on Decision and Control, pp.3671-3676, 2013.
DOI : 10.1109/CDC.2013.6760448

URL : https://hal.archives-ouvertes.fr/hal-00868412

D. Kempe, A. Dobra, and J. Gehrke, Gossip-based computation of aggregate information, 44th Annual IEEE Symposium on Foundations of Computer Science, 2003. Proceedings., pp.482-491, 2003.
DOI : 10.1109/SFCS.2003.1238221

C. Li, M. Tsai, K. Wang, and N. Wong, The spectrum of the product of operators, and the product of their numerical ranges, Linear Algebra and its Applications, vol.469, pp.487-499, 2015.
DOI : 10.1016/j.laa.2014.11.024

H. B. Mcmahan, E. Moore, D. Ramage, and B. Agüera-y-arcas, Federated Learning of Deep Networks using Model Averaging, 2016.

A. Nedic and A. E. Ozdaglar, Distributed Subgradient Methods for Multi-Agent Optimization, IEEE Transactions on Automatic Control, vol.54, issue.1, pp.48-61, 2009.
DOI : 10.1109/TAC.2008.2009515

S. S. Ram, A. Nedic, and V. V. Veeravalli, Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization, Journal of Optimization Theory and Applications, vol.147, issue.3, pp.516-545, 2010.

D. Shah, Gossip Algorithms, Foundations and Trends?? in Networking, vol.3, issue.1, pp.1-125, 2009.
DOI : 10.1561/1300000014

W. Shi, Q. Ling, K. Yuan, G. Wu, Y. et al., On the Linear Convergence of the ADMM in Decentralized Consensus Optimization, IEEE Transactions on Signal Processing, vol.62, issue.7, pp.621750-1761, 2014.
DOI : 10.1109/TSP.2014.2304432

J. Wang, M. Kolar, and N. Srebro, Distributed Multi-Task Learning, Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS), pp.751-760, 2016.

E. Wei and A. E. Ozdaglar, Distributed Alternating Direction Method of Multipliers, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), pp.5445-5450, 2012.
DOI : 10.1109/CDC.2012.6425904

E. Wei and A. E. Ozdaglar, On the O(1=k) convergence of asynchronous distributed alternating Direction Method of Multipliers, 2013 IEEE Global Conference on Signal and Information Processing, 2013.
DOI : 10.1109/GlobalSIP.2013.6736937

D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf, Learning with local and global consistency, Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS), pp.321-328, 2004.