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Article
Time-communication impossibility results for distributed transactional memory
We consider scheduling problems in the data flow model of distributed transactional memory. Objects shared by transactions move from one network node to another by following network paths. We examine how the o...
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Article
Dynamic scheduling in distributed transactional memory
We investigate scheduling algorithms for distributed transactional memory systems where transactions residing at nodes of a communication graph operate on shared, mobile objects. A transaction requests the obj...
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Chapter and Conference Paper
Correct Orchestration of Federated Learning Generic Algorithms: Formalisation and Verification in CSP
Federated learning (FL) is a machine learning setting where clients keep the training data decentralised and collaboratively train a model either under the coordination of a central server (centralised FL) or ...
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Chapter and Conference Paper
A Federated Learning Algorithms Development Paradigm
At present many distributed and decentralized frameworks for federated learning algorithms are already available. However, development of such a framework targeting smart Internet of Things in edge systems is ...