Fetching the paper…
Reading the bibliography…
We consider a distributed learning problem over multiple access channel (MAC) using a large wireless network.
“Introductory lectures on convex programming volume i: Basic course,” Lecture notes series / , vol. 3, no. 4, 1998
1998
Earlier work this paper cites.
N. Patwari, A. O. Hero, and B. M. Sadler, “Hierarchical censoring sensors for change detection,” Statistical Signal Process., 2003 IEEE Workshop on , pp. 21–24, Sep. 2003
2003
Earlier work this paper cites.
M. G. Rabbat and R. D. Nowak, “Decentralized source localization and tracking [wireless sensor networks],” in 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing , vol. 3, May 2004, pp. iii–921
2004
Earlier work this paper cites.
M. Rabbat and R. Nowak, “Distributed optimization in sensor networks,” in Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004 , April 2004, pp. 20–27
2004
Earlier work this paper cites.
G. Mergen and L. Tong, “Type based estimation over multiaccess channels,” IEEE Transactions on Signal Processing , vol. 54, no. 2, pp. 613–626, 2006
2006
Earlier work this paper cites.
D. Blatt, A. Hero, and H. Gauchman, “A convergent incremental gradient method with a constant step size,” SIAM Journal on Optimization , vol. 18, pp. 29–51, 01 2007
2007
Earlier work this paper cites.
C. G. Lopes and A. H. Sayed, “Incremental adaptive strategies over distributed networks,” IEEE Transactions on Signal Processing , vol. 55, no. 8, pp. 4064–4077, Aug 2007
2007
Earlier work this paper cites.
S. S. Ram, A. Nedic, and V. V. Veeravalli, “Stochastic incremental gradient descent for estimation in sensor networks,” in 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers , Nov 2007, pp. 582–586
2007
Earlier work this paper cites.
K. Liu and A. Sayeed, “Type-based decentralized detection in wireless sensor networks,” IEEE Trans. on Signal Process. , vol. 55, no. 5, pp. 1899 –1910, May 2007
2007
Earlier work this paper cites.
S. Marano, V. Matta, T. Lang, and P. Willett, “A likelihood-based multiple access for estimation in sensor networks,” IEEE Trans. on Signal Process. , vol. 55, no. 11, pp. 5155–5166, Nov. 2007
2007
Earlier work this paper cites.
G. Mergen, V. Naware, and L. Tong, “Asymptotic detection performance of type-based multiple access over multiaccess fading channels,” IEEE Trans. on Signal Process. , vol. 55, no. 3, pp. 1081 –1092, Mar. 2007
2007
Earlier work this paper cites.
A. Anandkumar and L. Tong, “Type-based random access for distributed detection over multiaccess fading channels,” IEEE Transactions on Signal Processing , vol. 55, no. 10, pp. 5032–5043, 2007
2007
Earlier work this paper cites.
S. Appadwedula, V. V. Veeravalli, and D. L. Jones, “Decentralized detection with censoring sensors,” IEEE Trans. on Signal Process. , vol. 56, no. 4, pp. 1362–1373, Apr. 2008
2008
Earlier work this paper cites.
R. S. Blum and B. M. Sadler, “Energy efficient signal detection in sensor networks using ordered transmissions,” IEEE Trans. on Signal Process. , vol. 56, no. 7, pp. 3229–3235, Jul. 2008
2008
Earlier work this paper cites.
S. S. Ram, A. Nedić, and V. V. Veeravalli, “Incremental stochastic subgradient algorithms for convex optimization,” SIAM Journal on Optimization , vol. 20, no. 2, pp. 691–717, 2009
2009
Earlier work this paper cites.
A. Nemirovski, A. Juditsky, G. Lan, and A. Shapiro, “Robust stochastic approximation approach to stochastic programming,” SIAM Journal on optimization , vol. 19, no. 4, pp. 1574–1609, 2009
2009
Earlier work this paper cites.
R. S. Blum, “Ordering for estimation and optimization in energy efficient sensor networks,” IEEE Transactions on Signal Processing , vol. 59, no. 6, pp. 2847–2856, 2011
2011
Cited alongside, same era.
K. Cohen and A. Leshem, “Energy-efficient detection in wireless sensor networks using likelihood ratio and channel state information,” IEEE Journal on Selected Areas in Comm., , vol. 29, no. 8, pp. 1671–1683, Sep. 2011
2011
Cited alongside, same era.
P. Braca, S. Marano, and V. Matta, “Asymptotically consistent one-bit detection in large sensor networks,” in Proc. European Signal Process. Conf. , Aug. 2011, pp. 1035–1039
2011
Cited alongside, same era.
F. Li, J. S. Evans, and S. Dey, “Decision fusion over noncoherent fading multiaccess channels,” IEEE Transactions on Signal Processing , vol. 59, no. 9, p. 4367, 2011
2011
Cited alongside, same era.
J. Zhang, Z. Chen, R. S. Blum, X. Lu, and W. Xu, “Ordering for reduced transmission energy detection in sensor networks testing a shift in the mean of a gaussian graphical model,” IEEE Transactions on Signal Processing , vol. 65, no. 8, pp. 2178–2189, 2017
2017
Later among the works it cites.
K. Cohen, A. Nedić, and R. Srikant, “On projected stochastic gradient descent algorithm with weighted averaging for least squares regression,” IEEE Transactions on Automatic Control , vol. 62, no. 11, pp. 5974–5981, 2017
2017
Later among the works it cites.
T. Chen, G. Giannakis, T. Sun, and W. Yin, “Lag: Lazily aggregated gradient for communication-efficient distributed learning,” in Advances in Neural Information Processing Systems , 2018, pp. 5050–5060
2018
Later among the works it cites.
——, “Spectrum and energy efficient multiple access for detection in wireless sensor networks,” IEEE Transactions on Signal Processing , vol. 66, no. 22, pp. 5988–6001, 2018
2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
S. Shalev-Shwartz, Y. Singer, N. Srebro, and A. Cotter, “Pegasos: Primal estimated sub-gradient solver for svm,” Mathematical programming , vol. 127, no. 1, pp. 3–30, 2011
2011
Cited alongside, same era.
T. Bertin-Mahieux, D. P. Ellis, B. Whitman, and P. Lamere, “The million song dataset,” in Proceedings of the 12th International Conference on Music Information Retrieval (ISMIR 2011) , 2011
2011
Cited alongside, same era.
——, “Single-transmission distributed detection via order statistics,” IEEE Transactions on Signal Processing , vol. 60, no. 4, pp. 2042–2048, Apr. 2012
2012
Cited alongside, same era.
K. Cohen and A. Leshem, “Performance analysis of likelihood-based multiple access for detection over fading channels,” IEEE Transactions on Information Theory , vol. 59, no. 4, pp. 2471–2481, 2013
2013
Cited alongside, same era.
M. Lichman, “UCI machine learning repository,” in University of California, Irvine, School of Information and Computer Sciences, http://archive.ics.uci.edu/ml , 2013
2013
Cited alongside, same era.
I. Nevat, G. W. Peters, and I. B. Collings, “Distributed detection in sensor networks over fading channels with multiple antennas at the fusion centre,” IEEE transactions on signal processing , vol. 62, no. 3, pp. 671–683, 2014
2014
Cited alongside, same era.
E. Hazan and S. Kale, “Beyond the regret minimization barrier: optimal algorithms for stochastic strongly-convex optimization,” The Journal of Machine Learning Research , vol. 15, no. 1, pp. 2489–2512, 2014
2014
Cited alongside, same era.
J. A. Maya, L. R. Vega, and C. G. Galarza, “Optimal resource allocation for detection of a gaussian process using a mac in wsns,” IEEE Transactions on Signal Processing , vol. 63, no. 8, pp. 2057–2069, 2015
2015
Cited alongside, same era.
2018
Later among the works it cites.
2018
Later among the works it cites.
2018
Later among the works it cites.
N. Sriranga, K. G. Nagananda, R. S. Blum, A. Saucan, and P. K. Varshney, “Energy-efficient decision fusion for distributed detection in wireless sensor networks,” in 21st International Conference on Information Fusion (FUSION) , 2018, pp. 1541–1547
2018
Later among the works it cites.
A. Mahmud, M. A. Adnan, and M. Shopon, “An incremental clustered gradient method for wireless sensor networks,” in 2018 21st Saudi Computer Society National Computer Conference (NCC) , April 2018, pp. 1–6
2018
Later among the works it cites.
2019
Closest in time.
M. M. Amiri and D. Gündüz, “Over-the-air machine learning at the wireless edge,” in Proc. IEEE Int. Workshop on Signal Process. Advances in Wireless Commun.(SPAWC) , 2019
2019
Closest in time.
2019
Closest in time.
2019
Closest in time.
2019
Closest in time.
S. Wang, T. Tuor, T. Salonidis, K. K. Leung, C. Makaya, T. He, and K. Chan, “Adaptive federated learning in resource constrained edge computing systems,” IEEE Journal on Selected Areas in Communications , vol. 37, no. 6, pp. 1205–1221, 2019
2019
Closest in time.