# D2D-Assisted Adaptive Federated Learning in Energy-Constrained Edge Computing
## 4 Partite Graph-Based FL Scheme with Adaptive D2D Pairing and Aperiodic Local Iterations
Tutorials_**2024**, _accepted._ [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] IoMT: C COVID-19 healthcare system driven by federated learning and blockchain. _IEEE J. Biomed. Health Inform._**2023**, _27_, 823-834. [CrossRef] [PubMed]
* [PERSON] and [PERSON] (2023) [PERSON]; [PERSON]; [PERSON] A novel group management scheme of clustered federated learning for mobile traffic prediction in mobile edge computing systems. _J. Commun. Netw._**2023**, _25_, 480-490. [CrossRef]* _[PERSON] et al. (2024)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Accelerating convergence of federated learning in MEC with dynamic community. _IEEE Trans. Mob. Comput._**2024**, _23_, 1769-1784. [CrossRef]
* _[PERSON] et al. (2024)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Age-aware data selection and aggregator placement for timely federated continual learning in mobile edge computing. _IEEE Trans. Comput._**2024**, _73_, 466-480. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]. Hierarchical personalized federated learning over massive mobile edge computing networks. _IEEE Trans. Wirel. Commun._**2023**, _22_, 8141-8157. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Multicore federated learning for mobile-edge computing platforms. _IEEE Internet Things J._**2023**, _10_, 5940-5952. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] VARF: An incentive mechanism of cross-silo federated learning in MEC. _IEEE Internet Things J._**2023**, _10_, 15115-15132. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON] Energy and distribution-aware cooperative clustering algorithm in Internet of Things (IoT)-based federated learning. _IEEE Trans. Veh. Technol._**2023**, _72_, 13799-13804. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Energy efficient federated learning over heterogeneous mobile devices via joint design of weight quantization and wireless transmission. _IEEE Trans. Mob. Comput._**2023**, _22_, 7451-7465. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Energy minimization for wireless-powered federated learning network with NOMA. _IEEE Wirel. Commun. Lett._**2023**, _12_, 833-837. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Energy-efficient federated learning over cell-free IoT networks: Modeling and optimization. _IEEE Internet Things J._**2023**, _10_, 17436-17449. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Optimal resource management for hierarchical federated learning over HetNets with wireless energy transfer. _IEEE Internet Things J._**2023**, _10_, 16945-16958. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON]; [PERSON] Reinforcement learning-based device scheduling for renewable energy-powered federated learning. _IEEE Trans. Ind. Inform._**2023**, _19_, 6264-6274. [CrossRef]
* _[PERSON] et al. (2020)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Blockchain empowered asynchronous federated learning for secure data sharing in internet of vehicles. _IEEE Trans. Veh. Technol._**2020**, _69_, 4298-4311. [CrossRef]
* _[PERSON] et al. (2022)_ [PERSON]; [PERSON]; [PERSON] Multi-stage hybrid federated learning over large-scale D2D-enabled fog networks. _IEEE/ACM Trans. Netw._**2022**, _30_, 1569-1584. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Decentralized aggregation for energy-efficient federated learning via D2D communications. _IEEE Trans. Commun._**2023**, _71_, 3333-3351. [CrossRef]
* _[PERSON] et al. (2021)_ [PERSON]; [PERSON]; [PERSON] Federated learning over wireless device-to-device networks: Algorithms and convergence analysis. _IEEE J. Sel. Areas Commun._**2021**, _39_, 3723-3741. [CrossRef]
* _[PERSON] et al.