Canh T. Dinh

Orcid: 0000-0002-0205-7743

According to our database1, Canh T. Dinh authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
A New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

2023
Federated Deep Reinforcement Learning - Based Bitrate Adaptation for Dynamic Adaptive Streaming over HTTP.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2023

2022
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning.
IEEE Trans. Parallel Distributed Syst., 2022

On the Generalization of Wasserstein Robust Federated Learning.
CoRR, 2022

Channel Estimation in RIS-assisted Downlink Massive MIMO: A Learning-Based Approach.
Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

2021
Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation.
IEEE/ACM Trans. Netw., 2021

Accelerating Federated Edge Learning.
IEEE Commun. Lett., 2021

FedU: A Unified Framework for Federated Multi-Task Learning with Laplacian Regularization.
CoRR, 2021

2020
DONE: Distributed Newton-type Method for Federated Edge Learning.
CoRR, 2020

Personalized Federated Learning with Moreau Envelopes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020


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