Design Considerations and Guidelines
Another interesting example of this approach applied in the health industry is the MELLODY project , a consortium of 17 European partners is funded by EU Innovative Medicines Initiative ( IMI ) as a public – private partnership . The MELLODY alliance uses the Owkin Connect platform to manage the FedL activities that makes sure that the data ( e . g . generated from personal medical devices , patient records , etc .) never leaves the data owner ’ s system and only non-sensitive models are exchanged . To provide full traceability of the operations , the platform is based on a private Blockchain , with de-centralized control .
Future FedL alliances may follow this approach as it outsources the technology considerations to third parties , which eliminates the cost of building the technology . This also introduces an independent third party for whom there is no competitive advantage to be gained by having access to the shared data . The technology itself may solve some of the traditional challenges with data sharing alliances .
Key to applying FedL as an enabler of collaborative business models are examples of successful projects , products , and enterprises that can point to this technology as being the key differentiator . The business community will look at how successful projects like the MELLODY and FedAI ecosystem meet these challenges , before deciding to embrace FedL at scale . Datadriven and collaborative smart-manufacturing requires the addition of a new set of skills , there remains significant knowledge gaps between machine learning specialists and domain experts . New technologies such as FedL will act as fundamental enabler to deliver new modes of interaction that underpin existing and future workflows and there is a need to ensure employee support to maximize the potential of these technologies . Collaborative digital platforms support the involvement of stakeholders in the process creating a community of practice ( Fit4FoF , 2018 ) for the design , definition and implementation of new programs and are required to provide remote , interactive upskilling and operate in tandem with workers across full process areas .
Once the business benefit of a FedL approach has been identified the next step is to define the implementation approach for the given use case scenario . To support this a decision model ( Figure 4-1 ) is proposed that captures the pathway for implementing FedL solutions along with the current available technological drivers to realise the FedL ecosystem ( i . e ., choosing the correct building blocks of a FedL solution ). The following outlines the main pathways for the proposed decision model .
Organizations may participate in the FedL process by using siloed data ( cross-silo ) on their geodistributed data centers or on distributed IoT edge devices ( cross-device ). This is enabled by finalizing the design considerations ( Section 3 ) for participating in the ecosystem . When the data across multiple clients share the same features but belong to different sample IDs , it is known as horizontal FedL and is mainly used to increase the variety and velocity of the input data .
26 March 2022