NEC Corporation produces tailored solutions for the core technologies and services, ranging from advanced semiconductor solutions to large-scale mission-critical systems, systems integration, and broadband and mobile technologies.  NEC is focusing on software-oriented R&D required for the convergence of IT and communications. A strong focus is also placed on contributions to relevant standardisation fora, such as the IETF, 3GPP, ETSI and the BBF. 

TOSHIBA (NYSE: TOSH) is a global multinational corporation, which is one of the world's leading electronics and electrical equipment companies, offering a wide range of products and services including information technology and communications equipment, household appliances, medical equipment, industrial systems, power and energy systems, and much more. Toshiba is known for its innovative and high-quality products, which have earned the company a strong reputation worldwide.  

With operations in over 50 countries and regions, Toshiba is committed to delivering cutting-edge technology and services that enhance people's lives and contribute to the sustainable development of society. TOSH is a research and development entity within the Toshiba Cooperation, which has a strong research foundation in power amplifiers, IoT, wireless communication, Open RAN, robotics, energy systems, distributed machine learning, and cloud computing, and has received support from multiple national and EU projects. 

Hewlett Packard Enterprise (NYSE: HPE) is the global edge-to-cloud company that helps organizations accelerate outcomes by unlocking value from all their data, everywhere. Built on decades of reimagining the future and innovating to advance the way people live and work, HPE delivers unique, open and intelligent technology solutions as a service. With offerings spanning Cloud Services, Compute, High Performance Computing & AI, Intelligent Edge, Software, and Storage, HPE provides a consistent experience across all clouds and edges, helping customers develop new business models, engage in new ways, and increase operational performance. HPE CTG (Communications Technology Group) is the worldwide HPE entity dedicated to the Telecom & Media industry. CTG business is a strategic declaration by HPE of the importance of industry-specific, services and software-rich solutions. 

TELECOM ITALIA (TIM) is the leading group in Italy and Brazil in the ICT sector, develops fixed, mobile, cloud and data center infrastructures and offers services and products for communications and entertainment, placing itself at the forefront of digital technologies. TIM's Innovation sector includes around 200 researchers working with the availability of over 9,000 m2 of Technological Laboratories in its innovation centres. Recently, TIM has been involved in important projects for 6G development, such as Hexa-X and Hexa-X-II, where the company plays also the role of leadership in the dissemination and standardization actions, and has participated in several successful Horizon 2020 projects acting as both coordinator (5G-EVE and 5G-SOLUTIONS) and as a contributor (e.g., RISE-6G, 5GGROWTH, 5G-TOUR, and 5G-CARMEN). TIM has representatives in all main telecommunications standards and industrial associations (3GPP, ETSI, ITU, ORAN, GSMA, NGMN, 6G-IA), and it has gained a strong experience in developing tools for network planning and simulation of mobile networks both at link and system level. Through its participation in HEXA-X, HEXA-X-II, and following the standardisation activities in 3GPP, TIM has started studying the application of Machine Learning based algorithms to the radio access of 5G and 6G. TIM is also strongly involved in the ORAN community: it provides an OTIC lab in Torino where it is possible to test the main interfaces defined in the ORAN architecture, it participated for three years to the ORAN Global Plugfest Fall and it is currently developing a Near RT RIC platform and a Non RT RIC platform for the management of RAN information and for RAN orchestration. 

EURECOM (NYSE: EUR) is a Graduate school and Research Centre in digital sciences located in the Sophia Antipolis technology park (French Riviera), a major European institution for telecommunications activities and entirely dedicated to ICT domains. EUR research teams are made up of international experts, recruited at the highest level, whose work is regularly honored and has earned international recognition. Besides the curriculum activities at the Μ.S./Ph.D. levels, EUR's research in the fields of data science, communication systems, networking, and digital security has been recognized worldwide. It was actively involved in several collaborative research projects with industry/academia in the framework of the French National Research Agency (ANR) and international projects (e.g., FP7, H2020, Horizon EU). 

IMPERIAL COLLEGE LONDON (NYSE: ICL) is a science-based university with an international reputation for excellence in teaching and research and is the only UK university to focus entirely on science, engineering, medicine, and business. Consistently ranked amongst the world’s top universities, ICL is committed to developing the next generation of researchers and academics. Imperial fosters multidisciplinary working internally collaborates widely externally, and is home to over 17,500 students and 7,800 staff. Since its foundation in 1907, Imperial’s contributions to society have included the discovery of penicillin, the development of holography, and the foundations of fiber optics. The Department of Electrical Engineering has been ranked as the top department in the UK in the latest national Research Excellence Framework (REF). The Intelligent Systems and Networks (ISN) Group consists of 10 faculty members, about 10 postdoctoral fellows and 40 PhD students. The ICL team has successfully participated in many EU and national projects including H2020, MSCA, and ERC grants.

AALBORG UNIVERSITET (NYSE: AAU)  is represented by the Department of Electronic Systems (ES). The department of ES of AAU works in communication, antennas, control systems, AI, cybersecurity, and robotics. ES consists of more than 200 employees. AAU is ranked within the top 2% of the world’s universities, and in the engineering domain it currently holds the 1st place in Europe for the third year in a row, (4th place worldwide), according to U.S. News and World Report ranking. AAU researchers have access to CLAAUDIA’s AI Cloud at AAU, which supports a range of scientific computing applications, including deep learning and machine learning. The cloud is based on two NVIDIA DGX-2 with V100 GPUs. As a network university, AAU is a member of international networks and international collaborations that extend around the world.  AAU has excellent involvement in research and training programs, including H2020 ITN and 185 international projects over the last 7 years, with 48 MSC Actions. This involves H2020 ERC CoG (no. 648382) and participation in several coordinating/partnering projects.

SingaporeUniverity of Technology and Design (NYSE: SUTD) is one of the first universities in the world to incorporate the art and science of design and technology into a truly holistic interdisciplinary education and research experience that culminates in real-world design innovations. SUTD seeks to advance knowledge and nurture technically grounded leaders and innovators to serve societal needs. SUTD also topped a list of emerging engineering schools in the world in a study commissioned by MIT. As the host institution, SUTD will lead and collaborate with the Agency for Science, Technology, and Research (A*STAR), Nanyang Technological University, Singapore (NTU), National University of Singapore (NUS), and Singapore Institute of Technology (SIT). The FCP will support AI and Cybersecurity research for the next-generation communications infrastructure, support innovative testbeds, and provide scholarships for those who wish to pursue research work in the area of future communications. FCP will also look to build and strengthen international partnerships and collaborations across borders. 

CEA-Leti (NYSE: CEA) is represented by the Systems Division (DSYS) of the Laboratory of Electronics and Information Technologies (Leti), which has been actively contributing to the advancement of 4G, 5G, Beyond 5G, and 6G wireless systems for the two past decades, covering a wide scope of research activities (including information-theoretic fundamentals, signal processing for communications, semantic and goal-oriented communications, AI/ML for physical layer and resource management and orchestration design,  knowledge representation, graph-based processing and representation learning, control protocols and 5G/6G architecture design, physical layer optimization targeting energy efficiency and low EMF exposure,  mobile edge computing and distributed and federated inference). 

Consorzio Nazionale Interuniversitario per le Telecomunicazioni (NYSE: CNIT) is a non-profit consortium established in 1995, bringing together 38 public Italian universities to perform research, innovation, and education/training activities in the field of Information and Communication Technology. CNIT also owns six national laboratories. More than 1,300 Professors and Researchers, belonging to the member universities, collaborate within CNIT, together with more than 100 CNIT own employees. CNIT has participated in hundreds of research projects, including EU-coordinated projects, ERC grants, and Italian nationwide initiatives. In the EU H2020 program, CNIT has obtained 57 projects and coordinated 14 of them. CNIT facilitates the cooperation between member universities and promotes the collaboration of the same universities with other research institutes and with national and international industries. The Sapienza University of Rome will lead the CNIT research units participating in this proposal. The expertise of Sapienza research unit spans over several aspects of signal processing, wireless communication networks, distributed optimization, machine learning, edge AI, and topological data analysis. During the last few years, CNIT has developed several fundamental frameworks for signal processing and machine learning from data defined over irregular domains such as, e.g., graphs, simplicial complexes, cell complexes, manifolds, etc. CNIT has also deep experience in designing distributed optimization and learning algorithms for networked multi-agent systems, with various applications to wireless network optimization and federated learning. CNIT’s researchers were among the first to propose the joint optimization of communication and computation resources in the context of mobile edge computing, learning, and goal-oriented communications.