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| When: Dec 12, 2022 - Dec 15, 2022 Submission Deadline: Jul 10, 2022 | ||
| FMEC 2022 CFP: • Cloud computing provides large range of services and virtually unlimited available resources for users. New applications, such as virtual reality and smart building control, ha... | ||
| MOBILE EDGE COMPUTING FEDERATED LEARNING ARTIFICIAL INTELLIGENCE DATA PRIVACY AND SECURITY | ||
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| When: Sep 7, 2022 - Sep 9, 2022 Submission Deadline: May 18, 2022 | ||
| ===================================================================================== • KES-2022-IS18: Federated Learning: Advances and Open Challenges in Distributed and Cooperative Learning M... | ||
| COMPUTER SCIENCE FEDERATED LEARNING COOPERATIVE NN INTERNET OF THINGS | ||
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| Submission Deadline: Sep 30, 2022 | ||
| Special Issue on Federated and Transfer Learning Applications, Applied Sciences, MDPI • The classic example of machine learning is based on isolated learning—a single model for each task usin... | ||
| FEDERATED LEARNING TRANSFER LEARNING ARTIFICIAL INTELLIGENCE PRIVACY | ||
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| When: Apr 27, 2022 - Apr 27, 2022 Submission Deadline: Mar 24, 2022 | ||
| ================================================================================ • CALL FOR CONTRIBUTIONS • Thematic Session on • "Collaborative Machine Learning across IoT, Edge, F... | ||
| MACHINE LEARNING DISTRIBUTED SYSTEMS FEDERATED LEARNING EDGE/FOG/CLOUD | ||
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| When: Jul 23, 2022 - Jul 25, 2022 Submission Deadline: May 23, 2022 | ||
| [Call for Papers] • Federated Learning (FL), a learning paradigm that enables collaborative training of machine learning models in which data reside and remain in distributed data silos during ... | ||
| ARTIFICIAL INTELLIGENCE MACHINE LEARNING FEDERATED LEARNING TRUSTWORTHY COMPUTING | ||
CBMS Special Track 2022 : Federated Learning for Medical DataShenzhen, China (or virtual attendance) |
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| When: Jul 21, 2022 - Jul 23, 2022 Submission Deadline: Apr 25, 2022 | ||
| ====================================================================== • CBMS Special Track - Federated Learning for Medical Data • CALL FOR PAPERS • 21-23 July 2022 • Shenzhe... | ||
| FEDERATED LEARNING MEDICAL DATA | ||
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| When: Oct 20, 2022 - Oct 23, 2022 Submission Deadline: Jun 15, 2022 | ||
| Call-for-Papers • Emerging Information Processing and Management Paradigms: Edge Intelligence, Federated Learning, and Blockchain (VSI: IPMC2022 EMERGING) • A Special Issue for Informatio... | ||
| EDGE INTELLIGENCE FEDERATED LEARNING BLOCKCHAIN INFORMATION PROCESSING | ||
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| When: Jul 18, 2022 - Jul 23, 2022 Submission Deadline: Jan 31, 2022 | ||
| Special Session Abstract: • Federated Learning (FL) comes to rescue from standard centralized training of machine learning models, that is unfeasible in many interesting use-cases, where the as... | ||
| NEURAL NETWORKS FEDERATED LEARNING COOPERATIVE NEURAL NETWORKS DISTRIBUTED DEEP LEARNING | ||
FLSys 2020 : Federated Learning Systems: Towards Next-generation AISpringer-Studies in CI |
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| When: Dec 31, 2020 - Dec 31, 2020 Submission Deadline: Aug 31, 2020 | ||
| This book aims at congregating researchers and practitioners to share their research in showing how federated learning can transform next-generation artificial intelligence applications, and propose s... | ||
| ARTIFICIAL INTELLIGENCE DEEP LEARNING PRIVACY COMMUNICATION | ||
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| When: Jul 17, 2020 - Jul 18, 2020 Submission Deadline: May 17, 2020 | ||
| Training machine learning models in a centralized fashion often faces significant challenges due to regulatory and privacy concerns in real-world use cases. These include distributed training data, co... | ||
| ARTIFICIAL INTELLIGENCE MACHINE LEARNING DATA PRIVACY | ||
FL-IJCAI'20 : International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI 2020Pacifico Yokohama, Yokohama, Japan |
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| When: Jul 13, 2020 - Jul 13, 2020 Submission Deadline: Apr 26, 2020 | ||
| Privacy and security are becoming a key concern in our digital age. Companies and organizations are collecting a wealth of data on a daily basis. Data owners have to be very cautious while exploiting ... | ||
| ARTIFICIAL INTELLIGENCE MACHINE LEARNING | ||
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| When: Dec 13, 2019 - Dec 14, 2019 Submission Deadline: Sep 9, 2019 | ||
| Overview • Privacy and security are becoming major concerns in recent years, particularly as companies and organizations are collecting increasingly detailed information about their products and... | ||
| MACHINE LEARNING ARTIFICIAL INTELLIGENCE FEDERATED LEARNING DATA PRIVACY | ||
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| When: Dec 9, 2019 - Dec 12, 2019 Submission Deadline: Sep 15, 2019 | ||
| Introduction • Privacy and security are becoming a key concern in our digital age. Companies and organizations are collecting a wealth of data on a daily basis. Data owners have to be very cauti... | ||
| MACHINE LEARNING ARTIFICIAL INTELLIGENCE FEDERATED LEARNING BIG DATA | ||
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| When: Aug 12, 2019 - Aug 12, 2019 Submission Deadline: May 26, 2019 | ||
| Privacy and security are becoming a key concern in our digital age. Companies and organizations are collecting a wealth of data on a daily basis. Data owners have to be very cautious while unlocking t... | ||
| MACHINE LEARNING ARTIFICIAL INTELLIGENCE FEDERATED LEARNING DATA PRIVACY | ||
Find and Compare Upcoming Federated Learning Events. Check Important Dates, Venue, Speaker, Location, Address, Exhibitor Information, Timing, Schedule, Discussion Topics, Agenda, Visitors Profile, and Other Important Details.
