Daniil Kirilenko

Federated Learning with Energy-Based Structured Probabilistic Inference

Dario Fenoglio, Daniil Kirilenko, Martin Gjoreski, Marc Langheinrich

Federated learning typically aggregates client updates using fixed or heuristic weighting rules, which can be suboptimal when clients have heterogeneous data and varying contributions to the global model. We propose a framework that refines client aggregation weights using Condit…Read more