Communication-efficient federated learning in drone-assisted iot networks: Path planning and enhanced knowledge distillation techniques
As 5G and beyond networks continue to proliferate, intelligent monitoring systems are
becoming increasingly prevalent. However, geographically isolated regions with sparse …
becoming increasingly prevalent. However, geographically isolated regions with sparse …
Moreau envelopes-based personalized asynchronous federated learning: Improving practicality in network edge intelligence
A Asad, MM Fouda, ZM Fadlullah… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Federated learning is a promising approach for training models on distributed data, driven
by increasing demand in various industries. However, federated learning framework faces …
by increasing demand in various industries. However, federated learning framework faces …
Joint Knowledge Distillation and Local Differential Privacy for Communication-Efficient Federated Learning in Heterogeneous Systems
Federated Learning (FL) has emerged as a powerful approach to facilitate the construction
of centralized models without compromising the data privacy of multiple participants …
of centralized models without compromising the data privacy of multiple participants …