From fmec2024 at gmail.com Mon Sep 1 08:33:47 2025 From: fmec2024 at gmail.com (Sadi Alawadi) Date: Mon, 1 Sep 2025 08:33:47 +0200 Subject: [Event@CIG] FLICS 2025 CFP: The 2025 Symposium on Federated Learning and Intelligent Computing Systems Message-ID: CFP: The 2025 Symposium on Federated Learning and Intelligent Computing Systems (FLICS 2025) A Hybrid Event Technically Co-Sponsored by IEEE Austrian Section https://intelligent-systems.net/flics/ Co-Located with the 3rd International Conference on Foundation and Large Language Models (FLLM2025) Theme: Federated Learning and Its Applications [Vienna, Austria] ? [25-28 November, 2025] ------------------------------ Scope The Federated Learning and Intelligent Computing Systems (FLICS) symposium brings together researchers, practitioners, and industry leaders to explore the convergence of federated learning with intelligent computing systems, edge AI, and autonomous workflows. As we advance toward 6G networks, pervasive edge intelligence, and decentralized cyber-physical systems, the need for collaborative, privacy-preserving learning approaches has never been more critical. Our conference focuses on the intersection of federated learning systems with emerging intelligent computing paradigms, including agentic AI workflows, edge intelligence, digital twin technologies, mobile computing, and distributed machine learning. We aim to address the fundamental challenges of engineering and deploying scalable, secure, and efficient federated learning systems across diverse computational environments in various application domains, including health, energy management, industrial automation, and smart cities. FLICS 2025 provides a unique platform for interdisciplinary collaboration, bridging theoretical foundations and practical implementations. The symposium welcomes contributions from both researchers and practitioners in the field of FL. ------------------------------ Topics of Interest We invite submissions addressing, but not limited to, the following areas: Federated Learning Systems & Edge Intelligence - Challenges of FL systems deployment in production environments - FL systems automation and self-tuning capabilities - Scalable federated learning architectures for large-scale deployments - Cross-silo and cross-device federated learning systems - Hardware-aware and resource-efficient federated learning - Communication-efficient FL (quantization, sparsification, compression techniques) - FL under client mobility, heterogeneity, and intermittent connectivity - Network-aware optimization and system-level co-design for FL - Benchmark and evaluation frameworks for FL systems in mobile/wireless environments - FL deployment in UAVs, mobile edge clouds, and autonomous systems Agentic Workflows and Collaborative AI - Federated learning for agentic AI systems and autonomous workflows - Collaborative learning in multi-agent environments - Privacy-preserving agent-to-agent communication and coordination - Federated training of foundation models for agentic applications - Distributed learning for tool-use optimization and workflow adaptation - User-agent interaction personalization through federated approaches Privacy, Security, and Trust - Privacy-enhancing technologies for federated learning - Secure aggregation protocols and cryptographic methods - Trustworthy and explainable federated learning systems - Resilient and robust FL systems against attacks - Privacy-utility trade-offs in distributed learning - Auditable and interpretable federated learning frameworks Mobile Computing & Wireless Networks - Federated learning protocols for mobile, vehicular, and edge networks - FL in 6G networks and next-generation wireless systems - Multi-agent and swarm intelligence-based federated learning - Energy-aware and communication-efficient federated intelligence - Dynamic network topologies and adaptive FL protocols - Distributed inference and online learning for mobile networks - Cross-layer optimization for federated learning in wireless systems - Quality of service and latency-aware federated learning Digital Twins & Cyber-Physical Systems - Federated intelligence for digital twin ecosystems - Digital twin generation and maintenance in distributed networks - Real-time federated learning for cyber-physical system monitoring - Distributed digital twins for smart cities and industrial IoT - Federated anomaly detection and predictive maintenance - Live model updating and synchronization in digital twin networks - Edge intelligence for decentralized digital twin ecosystems - Federated optimization for cyber-physical system control Applications and Real-World Deployments - Smart cities and urban computing applications - Autonomous vehicles and intelligent transportation systems - Industrial IoT and manufacturing intelligence - Healthcare and medical federated learning systems - Financial services and fraud detection - Swarm robotics and distributed autonomous systems - Environmental monitoring and sustainability applications - Real-world case studies and deployment experiences - Economic models and incentive mechanisms for data federations - Regulatory compliance and legal frameworks (GDPR, EU AI Act, etc.) Emerging Paradigms & Future Directions - Continual and lifelong learning in federated settings - Few-shot and zero-shot federated learning - Federated meta-learning and transfer learning - Neural architecture search in federated environments - Generative AI and federated learning convergence - Quantum-enhanced federated learning - Federated foundation models and large-scale pre-training - Neuromorphic computing and federated learning - Blockchain and distributed ledger technologies for FL - Sustainable and green federated learning approaches ------------------------------ Submission Types - Research Papers (up to 8 pages): novel methods/systems with rigorous evaluation. - Short Papers (up to 6 pages): promising early results, negative results with analysis, replication. Format: Paper format All papers should be in PDF format. Please make use of the appropriate IEEE template for conference proceedings to prepare your revised manuscript. Failure to do so may result in excluding your paper from the conference proceedings. IEEE Word template can be found here (IEEE Conference Word Template) . IEEE Latex template can be found here (IEEE Conference Latex Template) . IEEE Overleaf Latex template can be found here (IEEE Overleaf Conference Latex Template) . Important Dates - Paper submission: October 1, 2025 (11:59 PM) - Notification of acceptance: October 10, 2025 - Camera-ready deadline: October 22, 2025 All deadlines are in Anywhere on Earth (AoE) time. ------------------------------ Submission Portal Papers should be submitted through Easychair at: https://easychair.org/my/conference?conf=fllm2025 For submission guidelines, please visit: https://intelligent-systems.net/flics/ Contact Information For questions about submissions, please contact: intelligent.systems2026 at gmail.com , sadi.alawadi at bth.se We look forward to receiving your contributions and to seeing you at FLICS 2025! From fmec2024 at gmail.com Wed Sep 3 19:40:14 2025 From: fmec2024 at gmail.com (Sadi Alawadi) Date: Wed, 3 Sep 2025 19:40:14 +0200 Subject: [Event@CIG] CFP: (IEEE technically co-sponsored) The 2025 International Symposium on Human-AI Interaction and Experience Design (HAXD 2025) | Hybrid Event | Vienna Austria Message-ID: CFP: The 2025 International Symposium on Human-AI Interaction and Experience Design (HAXD 2025) A Hybrid Event Technically Co-Sponsored by IEEE Austrian Section https://intelligent-systems.net/ haxd Co-Located with the 3rd International Conference on Foundation and Large Language Models (FLLM2025) Theme:Beyond Prompts: Designing Human?AI Teamwork [Vienna, Austria] --- [25-28 November, 2025] Scope Artificial intelligence has become deeply embedded in our daily lives, transforming how we work, learn, manage our health, and interact, enjoy entertainment, and engage with public services. As AI systems grow more sophisticated and pervasive, the quality of human-AI interaction emerges as the critical factor determining whether these technologies truly benefit users and society. HAXD 2025 focuses on the design and experience of human-AI interaction?examining not just what AI can do, but how people actually interact with these systems and what experiences result from these interactions. We are interested in understanding and improving the full spectrum of user outcomes: usefulness, usability, trust, cognitive workload, user satisfaction, safety, fairness, accessibility, and long-term societal impact. The symposium welcomes research and design work spanning diverse AI technologies?including foundation models, conversational agents, recommendation systems, computer vision and speech interfaces, interactive machine learning systems, and emerging AI paradigms. We welcome submissions that consider the full diversity of users, from researchers to practitioners, multilingual communities, cross-cultural populations, and people with disabilities. Similarly, we embrace work across all environments where human-AI interaction occurs: homes, workplaces, educational settings, healthcare contexts, civic technologies, creative tools, social platforms, and emerging application domains. We welcome submissions concerning how humans and AI systems communicate, collaborate, and co-create value together. Whether you are designing new interaction paradigms, evaluating existing AI experiences, developing methodologies for AI usability research, or exploring the societal implications of AI interaction design, we want to hear from your work. HAXD 2025 aims to build a community of researchers, designers, and practitioners committed to ensuring that as AI becomes more powerful, it also becomes more human-centered, inclusive, and genuinely beneficial to the diverse communities it serves. Topics of Interest We invite submissions addressing, but not limited to, the following areas: Human-AI Interaction Design - Conversational interfaces and dialogue design for AI systems - Multimodal interaction paradigms (voice, gesture, text, visual) - Adaptive and personalized AI interfaces - Trust and transparency in AI system design - User agency and control in automated systems - Explainable AI interfaces and visualization - Error handling and failure recovery in AI interactions User Experience for AI Systems - UX methodologies for AI-enabled products and services - User journey mapping for AI-assisted workflows - Onboarding and mental model formation for AI systems - User feedback and AI system improvement - Accessibility and inclusive design for AI interfaces - Cross-cultural design considerations for global AI systems - Emotional design and affective computing in AI interfaces Collaborative AI and Agentic Systems - Human-AI collaboration frameworks and design patterns - Agentic AI workflow design and user experience - Co-creation and co-design with AI systems - AI assistants and virtual agents interaction design - Human-in-the-loop AI system design - Delegation and supervision in AI-assisted tasks - Team dynamics in human-AI collaborative environments Evaluation and Methodology - Usability testing methods for AI systems - User research techniques for AI interaction design - Metrics and evaluation frameworks for human-AI experiences - Longitudinal studies of AI system adoption and use - Comparative analysis of AI interaction paradigms - Design thinking and participatory design for AI systems - Prototyping tools and techniques for AI interfaces Ethics and Responsible AI Design - Privacy and data protection in AI user interfaces - Bias mitigation through inclusive design practices - Algorithmic transparency and user understanding - Consent and user control in AI data collection - Ethical considerations in persuasive AI design - Fairness and equity in AI system access and use - Social implications of AI interaction design decisions Domain Applications - Healthcare AI interfaces and patient experience - Educational AI systems and learning experience design - Workplace AI tools and productivity interfaces - Creative AI systems and artistic collaboration - Autonomous systems and human oversight interfaces - Smart home and IoT AI interaction design - Financial AI services and user trust Emerging Paradigms & Future Directions - Virtual and augmented reality AI interfaces - Brain-computer interfaces for AI interaction - Embodied AI and robotics interaction design - Large language model interface design - Generative AI user experience and creative workflows - AI-powered personalization and recommendation systems - Future interaction paradigms and speculative design Submission Types - Research Papers (up to 8 pages): novel methods/systems with rigorous evaluation. - Short Papers (up to 6 pages): promising early results, negative results with analysis, replication. Format: Paper format All papers should be in PDF format. Please make use of the appropriate IEEE template for conference proceedings to prepare your revised manuscript. Failure to do so may result in excluding your paper from the conference proceedings. IEEE Word template can be found here (IEEE Conference Word Template) . IEEE Latex template can be found here (IEEE Conference Latex Template) . IEEE Overleaf Latex template can be found here (IEEE Overleaf Conference Latex Template) . Important Dates - Paper submission: October 1, 2025. - Notification of acceptance: October 20, 2025 - Camera-ready deadline: November 1, 2025 All deadlines are in Anywhere on Earth (AoE) time. Submission Portal Papers should be submitted through Easychair at: https://easychair.org/my/conference?conf=fllm2025 For submission guidelines, please visit: https://intelligent-systems.net/haxd/ Contact Information For questions about submissions, please contact: - intelligent.systems2026 at gmail.com - Fahed Alkhabbas: Fahed.alkhabbas at mau.se We look forward to receiving your contributions and to seeing you at HAXD 2025! From PotykaN at cardiff.ac.uk Fri Sep 5 09:33:42 2025 From: PotykaN at cardiff.ac.uk (Nico Potyka) Date: Fri, 5 Sep 2025 07:33:42 +0000 Subject: [Event@CIG] KR 2025 Early Registration Deadline Approaching (8 September) Message-ID: CALL FOR PARTICIPATION KR 2025 REMINDER: EARLY REGISTRATION CLOSES 8 SEPTEMBER Principles of Knowledge Representation and Reasoning, KR 2025 11 - 17 November, 2025, Melbourne, Australia Co-located with CPAIOR 2025, ICAPS 2025 and NMR 2025. Registration: https://kr.org/KR2025/info_registration.html The KR conference series is the leading forum for timely, in-depth presentation of progress in the theory and practice of the representation and computational management of knowledge. The early registration for the conference is currently open and will close on 8 September. From ijwa at dline.info Tue Sep 2 11:29:40 2025 From: ijwa at dline.info (ijwa at dline.info) Date: Tue, 2 Sep 2025 02:29:40 -0700 Subject: [Event@CIG] Real-Time Intellgient Systems 2025 In-Reply-To: References: Message-ID: <9d385e14b3fdcdf6335ae0173212c67e@dline.info> Seventh International Conference on Real-Time Intelligent Systems (RTIS 2025) Macau Millennium College, Macau October 13-14, 2025 & Posts and Telecommunications Institute of Technology November 05-06, 2025 Ho Chi Minh. Vietnam https://www.socio.org.uk/rtis Authors can participate in Macau or in Vietnam. The International Conference on Real-time Intelligent Systems (RTIS) has travelled from Beijing, China (2016), to Macau. The seventh edition will take place at the University of Macau, Macau and at the Posts and Telecommunications Institute of Technology, Ho Chi Minh, in Vietnam. Over the past few years, real-time intelligent computing has revolutionised the human lifestyle. Research on real-time intelligent systems is multi-disciplinary, exploiting concepts from diverse areas such as big data processing, computational intelligence, location-based services, recommendation systems, and multimedia processing. In today?s highly dynamic environment, analysing data in real-time is necessary to understand how systems process data, reason the outputs, and anticipate trends in intelligent computing. To this end, this conference will serve as a platform to manifest the ongoing research in the field. Thus, RTIS welcomes theoretically grounded, methodologically sound papers that address aspects related to the following topics. CALL FOR PAPERS (Virtual/Physical) Artificial Intelligence and Data Mining Streaming data, streaming engines Trace-based intelligent real-time services Adaptive vision algorithms Location-based services Intelligent Robotic Systems Collaborative Intelligence Data capture in real-time Data quality and cleansing Intelligent Data Analysis Intelligent Database Systems Knowledge representation and reasoning Intelligent information fusion Large Language Models, cognitive methods, sequential inference, data mining, pattern/behavioral analysis Big Data systems and applications for high-velocity data Intelligent Information Systems Privacy and security in Intelligence Software Engineering Solutions Intelligent Soft Computing Real-time multiprocessor systems Internet of Things Architectures for Intelligence Real-time distributed coding Smart services and platforms Real-time modelling user information needs Wireless Communication Real-time intelligent communication Real-time intelligent network solutions Mobile Smart Systems Broadband Intelligence Cloud Computing and Intelligence Collaborative Intelligence Analysis in domains such as energy, sensors Decision support systems in real-time Multi-agent Intelligent Systems Multilingual information access Recommendation systems Real-time intelligent alert systems Real-time remote access systems Intelligent Transportation Systems Autonomous systems (incl. autonomous vehicles and drones) Distributed systems Cloud/edge computing/fusion Defence/security, robotics, aerospace, intelligent transportation Mining/Manufacturing Environmental monitoring Critical Real-time Applications Real-time noise removal systems Event-driven analytics Intelligent Fuzzy Systems Machine translation in real-time OLAP for real-time decision support Crowdsourcing and crowd intelligence AI in Agriculture Smart Agriculture Systems User experience in Real-Time Systems Anomaly Detection Predictive Maintenance Image and Video Recognition Natural Language Processing Vulnerability Management Healthcare Customer Analytics Submission, proceedings Papers must be submitted online through OpenConf. Author instructions and LaTex2e (preferred) and Word macro files are available on the submission page. Submitted papers should be at most 14 pages (long papers) and 8 pages (short ones), including figures, tables and references (in the Springer template). Authors of accepted papers are required to transfer their copyrights. For a paper to appear in the proceedings, at least one of the authors MUST register for the conference by the camera-ready submission deadline with a full registration. Springer?s Lecture Notes in Networks and Systems (LNNS) (https://www.springer.com/series/15179) will publish the accepted papers and be indexed in SCOPUS, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, and SCImago. All the papers published in the series are submitted for consideration in the Web of Science. Important Dates Submission of Papers: August 25, 2025 Notification of Acceptance/Rejection: September 20, 2025 Camera-ready: October 05, 2025 Registration: October 05, 2025 Conference Dates: October 13-14, 2025 General Chair Simon Fong, University of Macau, Macau Program Chairs Pit Pichappan, Digital Information Research Labs, India Zehan Tan, Macau Millennium College, Macau Program Co-chairs Kenneth Chan, Macau Millennium College, Macau Duong Van Hieu, Tien Giang University, Vietnam Ricardo Rodriguez-Jorge, Technological Centre Ceit, Spain Dion Goh, Nanyang Technological University, Singapore Contact: stm at socio.org.uk