48 citations · 85 across the 8 of their papers we have counts for
3 papers · 1 filter
Safeguarding Privacy: Privacy-Preserving Detection of Mind Wandering and Disengagement Using Federated Learning in Online Education
Anna Bodonhelyi, Mengdi Wang, Efe Bozkir +2
Since the COVID-19 pandemic, online courses have expanded access to education, yet the absence of direct instructor support challenges learners' ability to self-regulate attention…
CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning
Mengdi Wang, Efe Bozkir, Enkelejda Kasneci
Split learning emerges as a promising paradigm for collaborative distributed model training, akin to federated learning, by partitioning neural networks between clients and a serve…
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients
Mengdi Wang, Anna Bodonhelyi, Efe Bozkir +1
Federated learning is a distributed collaborative machine learning paradigm that has gained strong momentum in recent years. In federated learning, a central server periodically co…