ABFL: A Blockchain-enabled Robust Framework for Secure and Trustworthy Federated Learning

Author:

Cui Bo1ORCID,Mei Tianyu1ORCID

Affiliation:

1. College of Computer Science, Inner Mongolia University, China and Inner Mongolia Key Laboratory of Wireless Networking and Mobile Computing, China

Funder

Science and Technology Program of Inner Mongolia Autonomous Region

Natural Science Foundation of Inner Mongolia

University Youth Science and Technology Talent Development Project (Innovation Group Development Plan) of Inner Mongolia A. R. of China

National Natural Science Foundation of China

Central Government Guides Local Science and Technology Development Fund

Publisher

ACM

Reference35 articles.

1. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).

2. Tom Brown , Benjamin Mann , Nick Ryder , Melanie Subbiah , Jared  D Kaplan , Prafulla Dhariwal , Arvind Neelakantan , Pranav Shyam , Girish Sastry , Amanda Askell , 2020. Language models are few-shot learners. Advances in neural information processing systems 33 ( 2020 ), 1877–1901. Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020), 1877–1901.

3. Brendan McMahan Eider Moore Daniel Ramage Seth Hampson and Blaise Aguera y Arcas. 2017. Communication-efficient learning of deep networks from decentralized data. In Artificial intelligence and statistics. PMLR 1273–1282. Brendan McMahan Eider Moore Daniel Ramage Seth Hampson and Blaise Aguera y Arcas. 2017. Communication-efficient learning of deep networks from decentralized data. In Artificial intelligence and statistics. PMLR 1273–1282.

4. Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

5. Communication-Efficient Edge AI: Algorithms and Systems

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