Wei Chen

According to our database, Wei Chen authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Inner Product-based Neural Network Similarity.

Wei Chen, Zichen Miao, Qiang Qiu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

How to Learn Collaboratively - Federated Learning to Peer-to-Peer Learning and What's at Stake.

Atul Sharma, Joshua C. Zhao, Wei Chen, Qiang Qiu, Saurabh Bagchi, Somali Chaterji

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

FLAIR: Defense against Model Poisoning Attack in Federated Learning.

Atul Sharma, Wei Chen, Joshua C. Zhao, Qiang Qiu, Saurabh Bagchi, Somali Chaterji

Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022

FT-DeepNets: Fault-Tolerant Convolutional Neural Networks with Kernel-based Duplication.

Iljoo Baek, Wei Chen, Zhihao Zhu, Soheil Samii, Ragunathan Raj Rajkumar

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Continual Learning with Filter Atom Swapping.

Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks.

Atul Sharma, Wei Chen, Joshua C. Zhao, Qiang Qiu, Somali Chaterji, Saurabh Bagchi

CoRR, 2021

Practical Object Detection Using Thermal Infrared Image Sensors.

Iljoo Baek, Wei Chen, Asish Chakrapani Gumparthi Venkat, Ragunathan Raj Rajkumar

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models.

José Lezama, Wei Chen, Qiang Qiu

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design.

Kartikeya Bhardwaj, Wei Chen, Radu Marculescu

CoRR, 2020

FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning.

Wei Chen, Kartikeya Bhardwaj, Radu Marculescu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

INVITED: New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design.

Kartikeya Bhardwaj, Wei Chen, Radu Marculescu

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020