2020 IEEE International Conference on Blockchain (Blockchain)最新文献

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On Search Friction of Route Discovery in Offchain Networks 离线网络中路由发现的搜索摩擦问题
2020 IEEE International Conference on Blockchain (Blockchain) Pub Date : 2020-05-29 DOI: 10.1109/Blockchain50366.2020.00039
Saar Tochner, S. Schmid
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引用次数: 9
On Blockchain Metatransactions 关于区块链的元交易
2020 IEEE International Conference on Blockchain (Blockchain) Pub Date : 2020-04-17 DOI: 10.1109/Blockchain50366.2020.00029
István András Seres
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引用次数: 3
BAFFLE : Blockchain Based Aggregator Free Federated Learning BAFFLE:基于区块链的聚合器免费联邦学习
2020 IEEE International Conference on Blockchain (Blockchain) Pub Date : 2019-09-16 DOI: 10.1109/Blockchain50366.2020.00017
P. Ramanan, K. Nakayama, Ratnesh K. Sharma
{"title":"BAFFLE : Blockchain Based Aggregator Free Federated Learning","authors":"P. Ramanan, K. Nakayama, Ratnesh K. Sharma","doi":"10.1109/Blockchain50366.2020.00017","DOIUrl":"https://doi.org/10.1109/Blockchain50366.2020.00017","url":null,"abstract":"A key aspect of Federated Learning (FL) is the requirement of a centralized aggregator to maintain and update the global model. However, in many cases orchestrating a centralized aggregator might be infeasible due to numerous operational constraints. In this paper, we introduce BAFFLE, an aggregator free, blockchain driven, FL environment that is inherently decentralized. BAFFLE leverages Smart Contracts (SC) to coordinate the round delineation, model aggregation and update tasks in FL. BAFFLE boosts computational performance by decomposing the global parameter space into distinct chunks followed by a score and bid strategy. In order to characterize the performance of BAFFLE, we conduct experiments on a private Ethereum network and use the centralized and aggregator driven methods as our benchmark. We show that BAFFLE significantly reduces the gas costs for FL on the blockchain as compared to a direct adaptation of the aggregator based method. Our results also show that BAFFLE achieves high scalability and computational efficiency while delivering similar accuracy as the benchmark methods.","PeriodicalId":109440,"journal":{"name":"2020 IEEE International Conference on Blockchain (Blockchain)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115771052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 95
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