会议信息

STS 2025: International Symposium on Technologies for Sustainable Systems

请登录查看会议网址
免费注册：查看官网链接、跟踪截稿日期，并接收邮件提醒。
登录 注册

截稿日期:
2025-08-02
通知日期:
会议日期:
2025-10-15
会议地点:
Dubrovnik, Croatia
浏览: 5550   关注: 0   参加: 1

征稿

STS 2025 (International Symposium on Technologies for Sustainable Systems) is an academic conference held in Dubrovnik, Croatia on 2025-10-15. The paper submission deadline is 2025-08-02.

In this context, Federated learning (FL) has emerged as a prospective solution that facilitates distributed collaborative learning without disclosing original training data. The idea behind FL is to train the ML model collaboratively among distributed actors without sharing their data and violating the privacy accord. FL locates ML services and operations closer to the clients, facilitating leveraging available resources on the network’s edge. Hence, FL has become a critical enabling technology for future intelligent applications in domains such as autonomous driving, smart manufacturing, and healthcare. This development will lead to an overall advancement of FL and its impact on the community, noting that FL has gained significant attention within the machine learning community in recent years. The FLTA conference aims to provide a global forum for disseminating the latest scientific research and industry results in all aspects of federated learning. FLTA also aims to bring together researchers, practitioners, and edge intelligence advocators in sharing and presenting their perspectives on the effective management of FL deployment architectures. The conference will address the theoretical foundations of the field, as well as applications, datasets, benchmarking, software, hardware, and systems. Also, to create an annual forum for researchers and practitioners who share an interest in FL. FLTA offers an opportunity to showcase the latest advances in this area and discuss and identify future directions and challenges in FL systems. FLTA will also provide ample opportunities for networking, sharing knowledge, and collaborating with others in the metaverse community. Specific topics of interest include, but are not limited, to the following: Large-scale FL applications in IoT environments Applications of FL Blockchain for FL Data Heterogeneity in FL Device heterogeneity in FL Fairness in FL Hardware for on-device FL Federated transfer learning Adversarial attacks on FL Optimization advances in FL Partial participation in FL Personalization in FL Privacy Concerns in FL Privacy-preserving methods for FL Resource-efficient FL Systems and infrastructure for FL Theoretical contributions to FL Vertical FL Federated IoT Security in FL Explainable FL and AutoFL FL clients model heterogeneity, aspects and solutions Recommendation systems based on FL Clustering FL techniques Federated Reinforcement Learning Federated Learning with Non-IID Data Horizontal, Vertical and Transfer Federated Learning: challenges and opportunities FL approaches using traditional ML FL secure fusion functions Communications efficiency in FL
由 Dou Sun 最后更新于

相关会议

CCFICOREQUALIS简称全称截稿日期通知日期会议日期
AA*A1SIGIRInternational Conference on Research and Development in Information Retrieval2026-01-152026-04-022026-07-20
AA*A1AAAIAAAI Conference on Artificial Intelligence2026-07-212026-11-302027-02-16
AA*A1CVPRIEEE Conference on Computer Vision and Pattern Recognition2025-11-062026-02-202026-06-03
BA*A1ICRAInternational Conference on Robotics and Automation2025-09-152026-06-01
BA*A1IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*A1STOCACM Symposium on Theory of Computing2025-11-042026-02-012026-06-22
CA2ICCInternational Conference on Communications2025-10-132026-01-122026-05-24
CBA2IJCNNInternational Joint Conference on Neural Networks2025-01-152025-03-312025-06-30
BA1ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-01-132027-05-16
BA*A1PODSACM SIGMOD Conference on Principles of DB Systems2026-12-032027-03-012027-06-13

相关期刊

CCF全称影响因子出版商ISSN
Sustainable Computing5.7Elsevier2210-5379
Sustainable Computing: Informatics and Systems5.7Elsevier2210-5379
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

评论 0

暂无评论。

请登录后发表评论