Fetching the paper…
Reading the bibliography…
Federated learning (FL) is a decentralized AI mechanism suitable for a large number of devices like in smart IoT.
S. Kullback and R. A. Leibler, “On Information and Sufficiency,” The Annals of Mathematical Statistics , vol. 22, no. 1, pp. 79 – 86, Mar. 1951
1951
Earlier work this paper cites.
M. R. Garey and D. S. Johnson, Computers and Intractability . W. H. Freeman and Company, 1979
1979
Earlier work this paper cites.
D. Brélaz, “New Methods to Color the Vertices of a Graph,” Communications of the ACM , vol. 22, no. 4, pp. 251–256, Apr. 1979
1979
Earlier work this paper cites.
A. Hertz and D. d. Werra, “Using Tabu Tearch Techniques for Graph Coloring,” Computing , vol. 39, no. 4, pp. 345–351, Dec. 1987
1987
Earlier work this paper cites.
T. Samad, “The Clique-Partitioning Problem,” Computers & Mathematics with Applications , vol. 22, no. 6, pp. 1–11, 1991
1991
Earlier work this paper cites.
I. Blöchliger and N. Zufferey, “A Graph Coloring Heuristic using Partial Solutions and a Reactive Tabu Scheme,” Computers & Operations Research , vol. 35, no. 3, pp. 960–975, Mar. 2008
2008
Earlier work this paper cites.
P. Deville et al., “Dynamic Population Mapping using Mobile Phone Data,” Proceedings of the National Academy of Sciences , vol. 111, no. 45, pp. 15 888–15 893, Sep. 2014
2014
Earlier work this paper cites.
R. Lewis, A Guide to Graph Colouring . Springer, 2015, vol. 10
2015
Earlier work this paper cites.
N. M. Gandhi and R. Misra, “Performance Comparison of Parallel Graph Coloring Algorithms on Bsp Model using Hadoop,” in Proc. IEEE ICNC , Feb. 2015
2015
Earlier work this paper cites.
S. B. Baker, W. Xiang, and I. Atkinson, “Internet of Things for Smart Healthcare: Technologies, Challenges, and Opportunities,” IEEE Access , vol. 5, pp. 26 521–26 544, Nov. 2017
2017
Cited alongside, same era.
T. Malche and P. Maheshwary, “Internet of Things (IoT) for Building Smart Home System,” in Proc. I-SMAC , Feb. 2017
2017
Cited alongside, same era.
V. Smith et al., “Federated Multi-Task Learning,” Advances in neural information processing systems , vol. 30, 2017
2017
Cited alongside, same era.
B. McMahan, E. Moore, D. Ramage, S. Hampson, and B. A. y Arcas, “Communication-Efficient Learning of Deep Networks from Decentralized Data,” in Artificial intelligence and statistics , vol. 54, Apr. 2017
2017
Cited alongside, same era.
Y. Zhao et al., “Federated learning with Non-IID Data,” arXiv preprint arXiv:1806.00582 , Jun. 2018
K. Hsieh et al., “The Non-IID Data Quagmire of Decentralized Machine Learning,” in Proc. PMLR ICML , vol. 119, Jul. 2020
2020
Later among the works it cites.
3GPP, “5G; 5G System (5GS) Location Services (LCS),” 3rd Generation Partnership Project (3GPP), TS 23.273, Jul. 2020, version 16.4.0
2020
Later among the works it cites.
L. Lyu et al., “Towards Fair and Privacy-Preserving Federated Deep Models,” IEEE Transactions on Parallel and Distributed Systems , vol. 31, no. 11, pp. 2524–2541, May 2020
2020
Later among the works it cites.
S. Itahara et al., “Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data,” IEEE Trans. Mob. Comput. , vol. 22, no. 1, pp. 191–205, 2021
2021
Later among the works it cites.
B. Luo, X. Li, S. Wang, J. Huang, and L. Tassiulas, “Cost-Effective Federated Learning Design,” in Proc. IEEE INFOCOM , May 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2018
Cited alongside, same era.
G. Ding et al., “An Amateur Drone Surveillance System Based on the Cognitive Internet of Things,” IEEE Communications Magazine , vol. 56, no. 1, pp. 29–35, Jan. 2018
2018
Cited alongside, same era.
A. Petrasova, J. A. Hipp, and H. Mitasova, “Visualization of Pedestrian Density Dynamics using Data Extracted from Public Webcams,” ISPRS International J. of Geo-Information , vol. 8, no. 12, p. 559, Dec. 2019
2019
Cited alongside, same era.
W. Y. B. Lim et al., “Federated Learning in Mobile Edge Networks: A Comprehensive Survey,” IEEE Communications Surveys & Tutorials , vol. 22, no. 3, pp. 2031–2063, Apr. 2020
2020
Cited alongside, same era.
H. Wang et al., “Optimizing Federated Learning on Non-IID Data with Reinforcement Learning,” in Proc. IEEE INFOCOM , Jul. 2020
2020
Cited alongside, same era.
K. Pearson, “Notes on Regression and Inheritance in the Case of Two Parents,” Proceedings of the royal society of london , vol. 58, pp. 240–242, Jun. 1895
Cited in the paper.
2021
Later among the works it cites.
S. Horváth et al., “FjORD: Fair and Accurate Federated Learning under Heterogeneous Targets with Ordered Dropout,” in Proc. NeurlPS , vol. 34, 2021
2021
Later among the works it cites.
B. Auzier and M. Anderson. (2021) Social Media Use in 2021. [Online]. Available: https://www.pewresearch.org/internet/2021/04/07/social-media-use-in-2021/
2021
Later among the works it cites.
F. K. Konstantinidis et al., “AROWA: An Autonomous Robot Framework for Warehouse 4.0 Health and Safety Inspection Operations,” in Proc. IEEE MED , Jun. 2022
2022
Later among the works it cites.
T. M. Ho et al., “Federated Deep Reinforcement Learning for Task Scheduling in Heterogeneous Autonomous Robotic System,” IEEE Transactions on Automation Science and Engineering , vol. 21, no. 1, pp. 528–540, Nov. 2024
2024
Closest in time.