Chengxi Li

11 papers B 2Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Biased Compression in Gradient Coding for Distributed Learning.
CoRR
Chengxi Li, Ming Xiao, Mikael Skoglund
2026 J jnl
Byzantine-Robust and Communication-Efficient Distributed Training: Compressive and Cyclic Gradient Coding.
CoRR
Chengxi Li, Youssef Allouah, Rachid Guerraoui, Mikael Skoglund, Ming Xiao
2025 J jnl
Coded Robust Aggregation for Distributed Learning under Byzantine Attacks.
CoRR
Chengxi Li, Ming Xiao, Mikael Skoglund
2024 B conf
A Communication-Efficient Semi-Decentralized Approach for Federated Learning with Stragglers.
ITW
Chengxi Li, Ming Xiao, Mikael Skoglund
2024 J jnl
Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation.
CoRR
Chengxi Li, Ming Xiao, Mikael Skoglund
2024 B conf
Cooperative Gradient Coding for Semi-Decentralized Federated Learning.
GLOBECOM
Shudi Weng, Chengxi Li, Ming Xiao, Mikael Skoglund
2024 J jnl
Decentralized Learning Based on Gradient Coding With Compressed Communication.
IEEE Trans. Signal Process.
Chengxi Li, Mikael Skoglund
2024 J jnl
Distributed Learning Based on 1-Bit Gradient Coding in the Presence of Stragglers.
IEEE Trans. Commun.
Chengxi Li, Mikael Skoglund
2024 J jnl
Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglers.
CoRR
Chengxi Li, Mikael Skoglund
2024 — conf
Gradient Coding in Decentralized Learning for Evading Stragglers.
EUSIPCO
Chengxi Li, Mikael Skoglund
2024 J jnl
Gradient Coding in Decentralized Learning for Evading Stragglers.
CoRR
Chengxi Li, Mikael Skoglund