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Titlebook: Machine Learning for Networking; Second IFIP TC 6 Int Selma Boumerdassi,éric Renault,Paul Mühlethaler Conference proceedings 2020 IFIP Inte

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書目名稱Machine Learning for Networking
副標題Second IFIP TC 6 Int
編輯Selma Boumerdassi,éric Renault,Paul Mühlethaler
視頻videohttp://file.papertrans.cn/621/620644/620644.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Machine Learning for Networking; Second IFIP TC 6 Int Selma Boumerdassi,éric Renault,Paul Mühlethaler Conference proceedings 2020 IFIP Inte
描述This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN 2019, held in Paris, France, in December 2019. The 26 revised full papers included in the volume were carefully reviewed and selected from 75 submissions. They present and discuss new trends in deep and reinforcement learning, patternrecognition and classi cation for networks, machine learning for network slicingoptimization, 5G system, user behavior prediction, multimedia, IoT, securityand protection, optimization and new innovative machine learning methods, performanceanalysis of machine learning algorithms, experimental evaluations ofmachine learning, data mining in heterogeneous networks, distributed and decentralizedmachine learning algorithms, intelligent cloud-support communications,ressource allocation, energy-aware communications, software de ned networks,cooperative networks, positioning and navigation systems, wireless communications,wireless sensor networks, underwater sensor networks.
出版日期Conference proceedings 2020
關鍵詞artificial intelligence; communication systems; computer crime; computer networks; computer security; com
版次1
doihttps://doi.org/10.1007/978-3-030-45778-5
isbn_softcover978-3-030-45777-8
isbn_ebook978-3-030-45778-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightIFIP International Federation for Information Processing 2020
The information of publication is updating

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Golshan Famitafreshi,Cristina Cano innig verbunden. Als haben doch die damalige Zusammenarbeit und gemein- freiberuflicher Landschaftsarchitekt wurde ich das erste samen überlegungen über dieses dringend ben?tigte W?r- Mal im Jahr 1962 nach Israel zum dortigen Kongress in terbuch Früchte getragen. Damals ging ich noch von der Haifa
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Network Anomaly Detection Using Federated Deep Autoencoding Gaussian Mixture Model,nomaly detection tasks. However, the absence of large amount of training data greatly compromises DAGMM’s performance. Due to rising concerns for privacy, a worse situation can be expected. By aggregating only parameters from local training on clients for obtaining knowledge from more private data,
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