Distributed Machine Learning Publications

Publications in Distributed Machine Learning

Explore the most influential research papers and scholarly works that have shaped Distributed Machine Learning. Use the concept filter below to focus on a specific sub-area of research.

Distributed Machine Learning

428

Publications

35.5K

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
Proceedings of the 25th international conference on Machine learning William W. Cohen, Andrew McCallum, Sam T. Roweis Artificial IntelligenceAi ReliabilityEngineeringMachine LearningData Science	2008	5.5K
A few useful things to know about machine learning Pedro Domingos Communications of the ACM Artificial IntelligenceStatistical LearningEngineeringMachine LearningMachine Learning Tool	2012	3.1K
Proceedings of the 23rd international conference on Machine learning William W. Cohen, Andrew Moore Artificial IntelligenceArtificial Intelligence ApproachEngineeringMachine LearningData Science	2006	2.6K
MLlib: Machine Learning in Apache Spark Xiangrui Meng, Joseph K. Bradley, Burak Yavuz, arXiv (Cornell University) Cluster ComputingEngineeringMachine LearningMachine Learning ToolPresent Mllib	2015	961
Towards Federated Learning at Scale: System Design Keith Bonawitz, Hubert Eichner, Wolfgang Grieskamp, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceDistributed Algorithms	2019	953
Can machine learning be secure? Marco Barreno, Blaine Nelson, Russell Sears, Artificial IntelligenceEngineeringMachine LearningInformation SecurityMachine Learning Tool	2006	853
A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges Junfeng Xie, F. Richard Yu, Tao Huang, IEEE Communications Surveys & Tutorials Autonomous NetworkInternet Traffic AnalysisEngineeringMachine LearningMachine Learning Algorithms	2018	671
Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective Kim Hazelwood, Sarah Bird, David Brooks, EngineeringMachine LearningMachine Learning PipelinesMachine Learning ToolDistributed Data Analytics	2018	578
A Very Brief Introduction to Machine Learning With Applications to Communication Systems Osvaldo Simeone IEEE Transactions on Cognitive Communications and Networking Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolAlgorithmic Learning	2018	519
Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, IEEE Communications Surveys & Tutorials Artificial IntelligenceEngineeringMachine LearningFederated Learning LiteratureFederated Structure	2021	476
Communication Efficient Distributed Machine Learning with the Parameter Server Mu Li, David G. Andersen, Alex Smola, Neural Information Processing Systems Artificial IntelligenceCluster ComputingEngineeringMachine LearningDistributed Algorithms	2014	436
Petuum: A New Platform for Distributed Machine Learning on Big Data Eric P. Xing, Qirong Ho, Wei Dai, IEEE Transactions on Big Data Cluster ComputingEngineeringMachine LearningComputer ArchitectureMap-reduce	2015	392

Page 1