3 citations · 3 across the 5 of their papers we have counts for
6 papers
A Ratio-Based Shapley Value for Collaborative Machine Learning - Extended Version
Björn Filter, Ralf Möller, Özgür Lütfü Özçep
Collaborative machine learning enables multiple data owners to jointly train models for improved predictive performance. However, ensuring incentive compatibility and fair contribu…
A Mechanism for Mutual Fairness in Cooperative Games with Replicable Resources -- Extended Version
Björn Filter, Ralf Möller, Özgür Lütfü Özçep
The latest developments in AI focus on agentic systems where artificial and human agents cooperate to realize global goals. An example is collaborative learning, which aims to trai…
Mechanisms for Data Sharing in Collaborative Causal Inference (Extended Version)
Björn Filter, Ralf Möller, Özgür Lütfü Özçep
Collaborative causal inference (CCI) is a federated learning method for pooling data from multiple, often self-interested, parties, to achieve a common learning goal over causal st…
Orthologics for Cones
Mena Leemhuis, Özgür L. Özçep, Diedrich Wolter
In applications that use knowledge representation (KR) techniques, in particular those that combine data-driven and logic methods, the domain of objects is not an abstract unstruct…
Bounded-Memory Criteria for Streams with Application Time
Simon Schiff, Özgür Özcep
Bounded-memory computability continues to be in the focus of those areas of AI and databases that deal with feasible computations over streams---be it feasible arithmetical calcula…
Towards Analytics Aware Ontology Based Access to Static and Streaming Data (Extended Version)
Evgeny Kharlamov, Yannis Kotidis, Theofilos Mailis +10
Real-time analytics that requires integration and aggregation of heterogeneous and distributed streaming and static data is a typical task in many industrial scenarios such as diag…