Selected research projects in federated & continual learning
Forgetting-aware, intervention-based adaptation that lets continual learners absorb new tasks without overwriting prior knowledge.
Communication-efficient federated learning that builds semantic coresets via orthogonal projection embeddings to tame class imbalance.
Federated representation fine-tuning with an "All-But-Me" aggregation scheme — adapting hidden representations without sharing full models.
A game-theoretic model and distributed heuristics for fair edge bandwidth allocation across concurrent federated learning processes.