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When: Sep 1, 2025 - Sep 4, 2025 Submission Deadline: Jul 1, 2025 | ||
Call for Papers (CFP) • AI-IoT 2025 – The 1st International Workshop on AI-Driven Smart IoT: Innovations, Challenges & Future Directions • Co-located with Cyber-AI 2025 • 1–4 Se... | ||
IOT FEDERATED LEARNING AI CYBER PHYSICAL SYSTEM | ||
![]() FL@FM-ICME 2024 : International Workshop on Federated Learning and Foundation Models for Multi-MediaNiagara Falls, ON, Canada |
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When: Jul 15, 2024 - Jul 19, 2024 Submission Deadline: Mar 23, 2024 | ||
[Call for Papers] • Foundation models (FMs) are typically associated with large language models (LLMs), like ChatGPT, and are characterized by their scale and broad applicability. While these m... | ||
ARTIFICIAL INTELLIGENCE MACHINE LEARNING FEDERATED LEARNING FOUNDATION MODELS | ||
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When: May 14, 2024 - May 14, 2024 Submission Deadline: Feb 5, 2024 | ||
[Call for Papers] • Foundation models (FMs) are typically associated with large language models (LLMs), like ChatGPT, and are characterized by their scale and broad applicability. While these m... | ||
ARTIFICIAL INTELLIGENCE MACHINE LEARNING FEDERATED LEARNING FOUNDATION MODELS | ||
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When: Dec 16, 2023 - Dec 16, 2023 Submission Deadline: Oct 2, 2023 | ||
[Call for Papers] • 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 di... | ||
ARTIFICIAL INTELLIGENCE MACHINE LEARNING FEDERATED LEARNING FOUNDATION MODELS | ||
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When: Sep 11, 2023 - Sep 15, 2023 Submission Deadline: Jun 30, 2023 | ||
--- Call for papers - Apologies for multiple posting --- • 1st Workshop on Federated Learning in Medical Imaging and Vision • Held in conjunction with the “22nd International Conference... | ||
ARTIFICIAL INTELLIGENCE FEDERATED LEARNING MEDICAL IMAGING | ||
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When: Aug 6, 2023 - Aug 10, 2023 Submission Deadline: May 30, 2023 | ||
By hosting this workshop at SIGKDD, we hope to promote the development of federated learning as a scientific field and encourage data mining researchers and practitioners to collaborate on this impor... | ||
DATA MINING FEDERATED LEARNING DISTRIBUTED LEARNING MACHINE LEARNING | ||
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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 | ||
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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: 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 | ||
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