István Hegedűs
National Research, Development and Innovation Office(HU)
Publications by Year
Research Areas
Data Stream Mining Techniques, Privacy-Preserving Technologies in Data, Mobile Crowdsensing and Crowdsourcing, Peer-to-Peer Network Technologies, Advanced Bandit Algorithms Research
Most-Cited Works
- → Gossip Learning as a Decentralized Alternative to Federated Learning(2019)200 cited
- → Gossip learning with linear models on fully distributed data(2012)149 cited
- → Decentralized learning works: An empirical comparison of gossip learning and federated learning(2020)148 cited
- Gossip-based distributed stochastic bandit algorithms(2013)
- → Privacy-preserving Federated Learning and its application to natural language processing(2023)56 cited
- → Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning(2020)47 cited
- → Zur Lichtabsorption der Ferrikomplexe(1940)29 cited
- Analysis and design of space frames by the continuum method