Chengxi Li

According to our database, Chengxi Li authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

Byzantine-Robust and Communication-Efficient Distributed Training: Compressive and Cyclic Gradient Coding.

Chengxi Li, Youssef Allouah, Rachid Guerraoui, Mikael Skoglund, Ming Xiao

CoRR, March, 2026

Biased Compression in Gradient Coding for Distributed Learning.

Chengxi Li, Ming Xiao, Mikael Skoglund

CoRR, March, 2026

2025

Coded Robust Aggregation for Distributed Learning under Byzantine Attacks.

Chengxi Li, Ming Xiao, Mikael Skoglund

CoRR, June, 2025

2024

Distributed Learning Based on 1-Bit Gradient Coding in the Presence of Stragglers.

Chengxi Li, Mikael Skoglund

IEEE Trans. Commun., August, 2024

Decentralized Learning Based on Gradient Coding With Compressed Communication.

Chengxi Li, Mikael Skoglund

IEEE Trans. Signal Process., 2024

Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation.

Chengxi Li, Ming Xiao, Mikael Skoglund

CoRR, 2024

A Communication-Efficient Semi-Decentralized Approach for Federated Learning with Stragglers.

Chengxi Li, Ming Xiao, Mikael Skoglund

Proceedings of the IEEE Information Theory Workshop, 2024

Cooperative Gradient Coding for Semi-Decentralized Federated Learning.

Shudi Weng, Chengxi Li, Ming Xiao, Mikael Skoglund

Proceedings of the 2024 IEEE Global Communications Conference, 2024

Gradient Coding in Decentralized Learning for Evading Stragglers.

Chengxi Li, Mikael Skoglund

Proceedings of the 32nd European Signal Processing Conference, 2024