Maximizing Global Model Appeal in Federated Learning.
Trans. Mach. Learn. Res., 2024
Heterogeneous Low-Rank Approximation for Federated Fine-tuning of On-Device Foundation Models.
CoRR, 2024
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Communication-Efficient and Model-Heterogeneous Personalized Federated Learning via Clustered Knowledge Transfer.
IEEE J. Sel. Top. Signal Process., January, 2023
On the Convergence of Federated Averaging with Cyclic Client Participation.
Proceedings of the International Conference on Machine Learning, 2023
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
To Federate or Not To Federate: Incentivizing Client Participation in Federated Learning.
CoRR, 2022
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Towards Understanding Biased Client Selection in Federated Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer.
CoRR, 2021
Map-Based Millimeter-Wave Channel Models: An Overview, Data for B5G Evaluation and Machine Learning.
IEEE Wirel. Commun., 2020
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies.
CoRR, 2020
Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
Relationship Between Cross-Polarization Discrimination (XPD) and Spatial Correlation in Indoor Small-Cell MIMO Systems.
IEEE Wirel. Commun. Lett., 2018
RF Lens-Embedded Antenna Array for mmWave MIMO: Design and Performance.
IEEE Commun. Mag., 2018
V2X Downlink Coverage Analysis with a Realistic Urban Vehicular Model.
Proceedings of the IEEE Globecom Workshops, 2018
Effective inter-symbol interference mitigation with a limited amount of enzymes in molecular communications.
Trans. Emerg. Telecommun. Technol., 2017
Map-based Millimeter-Wave Channel Models: An Overview, Guidelines, and Data.
CoRR, 2017
Effective Enzyme Deployment for Degradation of Interference Molecules in Molecular Communication.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017
A machine learning approach to model the received signal in molecular communications.
Proceedings of the 2017 IEEE International Black Sea Conference on Communications and Networking, 2017