Objective
The rapid proliferation of edge devices with embedded AI capabilities enables local processing of private data, providing an inherent foundation for privacy protection. However, most current edge learning systems still depend on centralized aggregation, where updated local AI models are periodically transmitted to a server. This approach introduces inefficiencies in training and undermines robustness due to single-point failures. To address these limitations, CollEdge will design and implement a decentralized, privacy-preserving AI paradigm that fosters the emergence of collective intelligence on edge devices.
CollEdge will empower edge clients to evolve continually while enabling collaborative knowledge sharing: isolated devices will self-organize through decentralized coordination mechanisms that safeguard privacy, allowing system-level intelligence to emerge as a significant property of collaboration. First, edge devices will be equipped with lifelong learning capabilities to retain essential past knowledge and integrate newly coming information under hardware and resource constraints. Then, collective knowledge sharing will be realized through decentralized federated learning, ensuring privacy without raw data exchange. Finally, a co-optimization strategy spanning computation and network topology will unlock the full potential of large-scale multi-device systems. The paradigm will be validated in three domains of economic, strategic, and environmental importance: healthcare, embodied AI, and battery state estimation.
CollEdge will lead edge devices to form a more capable collective than isolated clients by ensuring lifelong evolution and privacy preservation. This fellowship combines tailored training activities at EPFL with a secondment to Oxford University, equipping me with the expertise and independence to advance research at the intersection of AI, healthcare, and information privacy.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences mathematics pure mathematics topology
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications telecommunications networks
- natural sciences computer and information sciences data science data exchange
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2025-PF
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1015 LAUSANNE
Switzerland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.