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2020 – today
- 2024
[c4]Huancheng Chen, Haris Vikalo:
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices. CVPR 2024: 6138-6148- [c3]Huancheng Chen, Haris Vikalo:
Recovering Labels from Local Updates in Federated Learning. ICML 2024 - [i6]Huancheng Chen, Haris Vikalo:
Recovering Labels from Local Updates in Federated Learning. CoRR abs/2405.00955 (2024) - 2023
- [c2]Huancheng Chen, Haris Vikalo
:
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data. CVPR Workshops 2023: 5027-5036 - [c1]Huancheng Chen, Chianing Wang, Haris Vikalo:
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation. ICLR 2023 - [i5]Huancheng Chen, Chianing Johnny Wang, Haris Vikalo:
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation. CoRR abs/2301.08968 (2023) - [i4]Huancheng Chen, Haris Vikalo:
Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling. CoRR abs/2310.00198 (2023) - [i3]Huancheng Chen, Haris Vikalo:
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices. CoRR abs/2311.18129 (2023) - 2022
- [i2]Huancheng Chen, Haris Vikalo:
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data. CoRR abs/2206.00686 (2022) - 2021
- [i1]Abduallah A. Mohamed, Huancheng Chen, Zhangyang Wang, Christian G. Claudel:
Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs. CoRR abs/2109.10257 (2021)
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