Context-Aware Online Client Selection for Hierarchical Federated Learning

Optimizing Federated Learning in Distributed Industrial IoT: A Multi-Agent Approach

(2021) Weiting Zhang et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Federated Learning via Over-the-Air Computation

(2020) Kai Yang et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Fast-Convergent Federated Learning

(2020) Hung T. Nguyen et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Throughput of CDM-Based Random Access With SINR Capture

(2020) Hoesang Choi et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Adaptive Federated Learning With Gradient Compression in Uplink NOMA

(2020) Haijian Sun et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead

(2020) Wentai Wu et al.   IEEE TRANSACTIONS ON COMPUTERS

A Hierarchical Blockchain-Enabled Federated Learning Algorithm for Knowledge Sharing in Internet of Vehicles

(2020) Haoye Chai et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Budget-Constrained Edge Service Provisioning With Demand Estimation via Bandit Learning

(2019) Lixing Chen et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

A Survey on Mobile Edge Computing: The Communication Perspective

(2017) Yuyi Mao et al.   IEEE Communications Surveys and Tutorials

Submodular Function Maximization via the Multilinear Relaxation and Contention Resolution Schemes

(2014) Chandra Chekuri et al.   SIAM JOURNAL ON COMPUTING