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By leveraging blockchain, this letter proposes a blockchained federated learning (BlockFL) architecture where local learning model updates are exchanged and verified.
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J. Park, D. Kim, P. Popovski, and S.-L. Kim, “Revisiting Frequency Reuse towards Supporting Ultra-Reliable Ubiquitous-Rate Communication,” in Proc. IEEE WiOpt Wksp. SpaSWiN
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H. B. McMahan, E. Moore, D. Ramage, S. Hampson, B. A.y Arcas, “Communication-Efficient Learning of Deep Networks from Decentralized Data,” in Proc. AISTATS, Fort Lauderdale, FL, USA
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H. B. McMahan, and D. Ramage, “Federated Learning: Collaborative Machine Learning without Centralized Training Data,” [Online] Available at: https://ai.googleblog.com/2017/04/federated-learning-collaborative.html , 2017
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Cited alongside, same era.
L. Chen, L. Xu, N. Shah, Z. Gao, Y. Lu, and W. Shi, “On Security Analysis of Proof-of-Elapsed-Time,” in Proc. SSS, Boston, MA, USA
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Cited alongside, same era.
P. Popovski, J. J. Nielsen, C. Stefanovic, E. de Carvalho, E. G. Ström, K. F. Trillingsgaard, A. Bana, D. Kim, R. Kotaba, J. Park, and R. B. Sørensen, “Wireless Access for Ultra-Reliable Low-Latency Communication (URLLC): Principles and Building Blocks,” IEEE Netw
2018
Cited alongside, same era.
Cited in the paper.
Cited in the paper.
Cited in the paper.
S. Nakamoto, “Bitcoin: A Peer-to-Peer Electronic Cash System,” [Online]. Available: https://bitcoin.org/bitcoin.pdf
Cited in the paper.
Cited in the paper.
P. Danzi, A. E. Kalør, C. Stefanović, and P. Popovski, “Analysis of the Communication Traffic for Blockchain Synchronization of IoT Devices,” Proc. IEEE Int. Conf. on Commun. (ICC)
2018
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N. C. Luong, D. Niyato, P. Wang, and Z. Xiong, “Optimal Auction for Edge Computing Resource Management in Mobile Blockchain Networks: A Deep Learning Approach,” Proc. IEEE Int. Conf. on Commun. (ICC)
2018
Closest in time.
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