Optimal User Selection for High-Performance and Stabilized Energy-Efficient Federated Learning Platforms

Federated Learning: Challenges, Methods, and Future Directions

(2020) Tian Li et al.   IEEE SIGNAL PROCESSING MAGAZINE

Adaptive Federated Learning in Resource Constrained Edge Computing Systems

(2019) Shiqiang Wang et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning

(2019) Xiaofei Wang et al.   IEEE NETWORK

Wireless Network Intelligence at the Edge

(2019) Jihong Park et al.   PROCEEDINGS OF THE IEEE

Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications

(2019) Sumudu Samarakoon et al.   IEEE TRANSACTIONS ON COMMUNICATIONS

Broadband Analog Aggregation for Low-Latency Federated Edge Learning

(2019) Guangxu Zhu et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data

(2019) Felix Sattler et al.   IEEE Transactions on Neural Networks and Learning Systems

Distributed learning of deep neural network over multiple agents

(2018) Otkrist Gupta et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

(2017) Vivienne Sze et al.   PROCEEDINGS OF THE IEEE

Path Loss Measurements of Indoor LTE System for the Internet of Things

(2017) Guan-Yi Liu et al.   Applied Sciences-Basel

Quality-Aware Streaming and Scheduling for Device-to-Device Video Delivery

(2016) Joongheon Kim et al.   IEEE-ACM TRANSACTIONS ON NETWORKING

Predicting sample size required for classification performance

(2012) Rosa L Figueroa et al.   BMC Medical Informatics and Decision Making