Current & recent events
Prof. Zenglin Xu · Trustworthy Federated Learning
Toolboxes, benchmarks and models — an invited talk at the Federico II Department of Mathematics and Applications.
Talk details → UpcomingFIDTA 2026 @ MobiHoc
Federated Intelligence and Digital Twins for Autonomous Systems and IoT.
Event details → UpcomingTrustFL-SIS 2026
Trustworthy Federated Learning for Smart Industrial Systems.
Event details → UpcomingFederated Learning on Big Data
Special Session at IEEE BigData 2026.
Event details →ECML PKDD 2026
FLIP4Tab in the Main Research Track and AGENSYS workshop activity.
Event details →International Summer School on Generative AI 2026
Research and training across LLMs, agentic AI, NLP and retrieval-augmented generation, with Francesco Piccialli among the organisers.
Event details →Ital-IA 2026
Two M.O.D.A.L. contributions on AI for Sustainability and AI for Public Administration.
Event details →FLICS 2026
Francesco Piccialli served as General Chair; the laboratory also presented research.
Event details →MLISE 2026
M.O.D.A.L. contributed to the organization and presented two research papers.
Event details →Previous workshops & special sessions
FL4WEB @ ICDCS 2025
Federated Learning for Web Technologies, including personalization, fairness, privacy, decentralized learning and web-scale applications.
Details →RobustFL @ IJCNN 2025
Robust Federated Learning with emphasis on non-IID data, device heterogeneity, fairness, scalability and deployment.
Details →FLUID @ AAAI 2025
Federated Learning for Unbounded and Intelligent Decentralization: privacy, decentralization, heterogeneous data and intelligent edge systems.
Details →CASTANET @ CCGrid 2025
Challenges, Advances and Sustainability in AI-HPC Interaction, with energy-aware AI, HPC tools, resource optimization and sustainable computing.
Details →ALTonHHE @ PDP 2025
Applications, Libraries and Tools for Computational Science and Machine Learning on Heterogeneous HPC Environments.
Details →SS_FLonBigData @ IEEE BigData 2024
Federated Learning for Big Data, focusing on privacy, security, non-IID data, model aggregation and resource-efficient edge learning.
Details →SALTCSMLNHP @ PDP 2024
Scalable Algorithms, Libraries and Tools for Computational Science and Machine Learning on New Heterogeneous HPC Systems.
Details →