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FL4WEB 2025 : IEEE ICDCS 2025 - Workshop on Federated Learning for Web Technologies (FL4WEB) | |||||||||||||||
Link: https://www.labdma.unina.it/index.php/fl4web-icdcs2025/ | |||||||||||||||
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Call For Papers | |||||||||||||||
Dear Colleague,
We are excited to invite you to contribute to the Workshop on Federated Learning for Web Technologies - FL4WEB at IEEE ICDCS 2025 (45th IEEE International Conference on Distributed Computing Systems), Glasgow, Scotland, 20-23 July 2025. Federated Learning (FL) has been proposed to develop better AI systems without compromising users’ privacy and the legitimate interests of private companies. Although FL is still an emerging technology, it has already shown significant theoretical and practical results making FL one of the hottest topics in the machine learning community. Given the considerable potential in overcoming the challenges of protecting users’ privacy while making the most of available data, we propose a workshop on Federated Learning for the Web Technologies (FL4WEB) at the 45th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2025). The goal of this workshop is to focus the attention of the ICDCS research community on addressing the open questions and challenges in this thriving research area. Link to the workshop website: https://www.labdma.unina.it/index.php/fl4web-icdcs2025/ Link to the workshops page of ICDCS: https://icdcs2025.icdcs.org/workshops/ Topics of Interest: We encourage submissions on topics including, but not limited to: - Algorithmic and theoretical advances in FL for the Web - Federated Learning for personalization (e.g., FL in recommender systems and user modeling) - Security and privacy of FL systems (e.g., differential privacy, adversarial attacks, poisoning attacks, inference attacks, data anonymization, model distillation, secure multi-party computation - Other non-functional properties of FL for the Web (e.g., fairness, interpretability/explainability, personalization - Federated Learning with heterogeneous data/model distributions - FL variants and Decentralized Federated Learning (e.g., vertical FL, split learning, gossip learning - Applications/Use cases of FL for the Web - Demos, tools and resources (e.g., benchmark datasets, software libraries) Important dates - Workshop paper submission deadline: March 03, 2025 - Workshop paper acceptance notification: April 03, 2025 - Camera ready paper submission: April 16, 2025 We look forward to your contributions and to welcoming you in Glasgow, Scotlan, for engaging discussions on Federated Learning at IEEE ICDCS2025! |
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