Y. P. Aneja and K. P. Nair, Bicriteria transportation problem, Management Science, vol.25, pp.73-78, 1979.

M. F. Anjos, A. Lodi, and M. Tanneau, A decentralized framework for the optimal coordination of distributed energy resources, IEEE Trans. Pow. Sys, vol.34, pp.349-359, 2018.

H. H. Bauschke and J. M. Borwein, On the convergence of Von Neumann's alternating projection algorithm for two sets, Set-Valued Analysis, vol.1, pp.185-212, 1993.

H. H. Bauschke, J. Chen, and X. Wang, A Bregman projection method for approximating fixed points of quasi-Bregman nonexpansive mappings, Applicable Analysis, vol.94, pp.75-84, 2015.

J. F. Benders, Partitioning procedures for solving mixed-variables programming problems, Numerische mathematik, vol.4, pp.238-252, 1962.

D. P. Bertsekas, Nonlinear programming, 1999.

D. P. Bertsekas and J. N. Tsitsiklis, Parallel and distributed computation: numerical methods, vol.23, 1989.

E. D. Bolker, Transportation polytopes, Journal of Combinatorial Theory, Series B, vol.13, pp.251-262, 1972.

J. M. Borwein, G. Li, and L. Yao, Analysis of the convergence rate for the cyclic projection algorithm applied to basic semialgebraic convex sets, SIAM J. Optim, vol.24, pp.498-527, 2014.

G. Cohen and D. L. Zhu, Decomposition and coordination methods in large scale optimization problems: The nondifferentiable case and the use of augmented lagrangians, Adv. in Large Scale Systems, vol.1, pp.203-266, 1984.

W. J. Cook, W. Cunningham, W. Pulleyblank, and A. Schrijver, Combinatorial optimization, 2009.

W. Deng, M. Lai, Z. Peng, and W. Yin, Parallel multi-block admm with o (1/k) convergence, Journal of Scientific Computing, vol.71, pp.712-736, 2017.

R. Glowinski and A. Marroco, Sur l'approximation, par éléments finis d'ordre un, et la résolution, par pénalisation-dualité d'une classe de problèmes de dirichlet non linéaires, ESAIM, vol.9, pp.41-76, 1975.

L. Gubin, B. Polyak, and E. Raik, The method of projections for finding the common point of convex sets, USSR Comput. Math. & Math. Phys, vol.7, pp.1-24, 1967.

J. He, L. Cai, P. Cheng, J. Pan, and L. Shi, Consensus-based data-privacy preserving data aggregation, IEEE Transactions on Automatic Control, pp.1-1, 2019.

A. J. Hoffman, Some recent applications of the theory of linear inequalities to extremal combinatorial analysis, Proc. of Symposia on Applied Mathematics, pp.113-127, 1960.

B. A. Huberman, E. Adar, and L. R. Fine, Valuating privacy, IEEE security & privacy, vol.3, pp.22-25, 2005.

P. Jacquot, O. Beaude, S. Gaubert, and N. Oudjane, Analysis and implementation of an hourly billing mechanism for demand response management, IEEE Trans. Smart Grid, vol.10, pp.4265-4278, 2019.

P. Jacquot, O. Beaude, P. Benchimol, S. Gaubert, and N. Oudjane, A privacy-preserving disaggregation algorithm for non-intrusive management of flexible energy, in Decision and Control (CDC), IEEE 58th Annual Conference on, 2019.

G. Jagannathan, K. Pillaipakkamnatt, and R. N. Wright, A new privacy-preserving distributed k-clustering algorithm, Proc. of the 2006 SIAM Int. Conf. on Data Mining, SIAM, pp.494-498, 2006.

F. Katiraei, R. Iravani, N. Hatziargyriou, and A. Dimeas, Microgrids management, IEEE power and energy magazine, vol.6, 2008.

K. K. Lai, K. Lam, and W. K. Chan, Shipping container logistics and allocation, J. Oper. Res. Soc, vol.46, pp.687-697, 1995.

C. Lemaréchal, A. Nemirovskii, and Y. Nesterov, New variants of bundle methods, Math. Program, vol.69, pp.111-147, 1995.

P. R. Ma, A task allocation model for distributed computing systems, IEEE Trans. Computers, vol.100, pp.41-47, 1982.

F. L. Müller, J. Szabó, O. Sundström, and J. Lygeros, Aggregation and disaggregation of energetic flexibility from distributed energy resources, IEEE Trans. Smart Grid, 2017.

J. Munkres, Algorithms for the assignment and transportation problems, SIAM J. App. Math, vol.5, pp.32-38, 1957.

R. Nishihara, S. Jegelka, and M. I. Jordan, On the convergence rate of decomposable submodular function minimization, NIPS, pp.640-648, 2014.

D. P. Palomar and M. Chiang, A tutorial on decomposition methods for network utility maximization, IEEE J. Sel. Areas Commun, vol.24, pp.1439-1451, 2006.

A. Rais and A. Viana, Operations research in healthcare: a survey, Int. Trans. Oper. Res, vol.18, pp.1-31, 2011.

K. Seong, M. Mohseni, and J. M. Cioffi, Optimal resource allocation for ofdma downlink systems, in Information Theory, IEEE Int. Sym, pp.1394-1398, 2006.

J. and V. Neumann, Functional operators: Measures and integrals, vol.1, 1950.

L. Xiao and S. Boyd, Optimal scaling of a gradient method for distributed resource allocation, J. Optim. Theory. Appl, vol.129, pp.469-488, 2006.

L. Xiao, M. Johansson, and S. P. Boyd, Simultaneous routing and resource allocation via dual decomposition, IEEE Trans. Comm, vol.52, pp.1136-1144, 2004.

A. C. Yao, How to generate and exchange secrets, 27th Annual Symp. Found. of Comp. Sci. (SFCS), pp.162-167, 1986.

H. Yu and M. J. Neely, A simple parallel algorithm with an o(1/t) convergence rate for general convex programs, SIAM J. Optim, vol.27, pp.759-783, 2017.

A. Zoha, A. Gluhak, M. A. Imran, and S. Rajasegarar, Non-intrusive load monitoring approaches for disaggregated energy sensing: A survey, Sensors, pp.16838-16866, 2012.

M. Zulhasnine, C. Huang, and A. Srinivasan, Efficient resource allocation for device-to-device communication underlaying lte network, WiMob, 2010 IEEE 6th Int. Conference, pp.368-375, 2010.