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Mar 1, 2024 · This survey provides a comprehensive review of recent research on BC-FL systems, analyzing the benefits and challenges associated with blockchain integration.
Feb 22, 2023 · This work comprehensively surveys challenges, solutions, and future directions for blockchain-empowered federated learning (BlockFed).
There are many challenging issues in feder- ated learning, such as coordinating participants' activities, arbitrating their benefits, and aggregating models.
There are many challenging issues in federated learning, such as coordinating participants' activities, arbitrating their benefits, and aggregating models. Most ...
Jul 7, 2024 · The paper presents a compelling case for combining blockchain technology and federated learning to address the challenges of data privacy, model security, and ...
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In addition, how to fairly share the benefits generated by the model, identify honest participants and punish malicious participants is still a challenge.
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Oct 22, 2024 · Besides privacy issue, blockchain can be further introduced into FL framework to resist the malicious attacks occurred in D2D caching networks.
Feb 22, 2023 · There are many challenging issues in federated learning, such as coordinating participants' activities, arbitrating their benefits, and ...
Dec 1, 2022 · We explain the three challenges of the FL system, namely, robustness or efficiency issues caused by a centralized underlying architecture, data ...
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Oct 14, 2024 · Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.