FedEnD: Communication-Efficient Federated Learning for Non-IID Data via Decentralized Ensemble Distillation
Quick facts
- Year
- 2025
- Venue
- Submitted to Future Generation Computer Systems
- Identifier
- martinezbeltran2025fedend
Suggested citation
Enrique Tomás Martínez Beltrán, Philip Giryes, Gérôme Bovet, Burkhard Stiller, Gregorio Martínez Pérez, Alberto Huertas Celdrán (2025). FedEnD: Communication-Efficient Federated Learning for Non-IID Data via Decentralized Ensemble Distillation. Submitted to Future Generation Computer Systems.
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