Gradient Coding in Decentralized Learning for Evading Stragglers. - Chengxi Li 015; Mikael Skoglund (EUSIPCO, 2024)

Cooperative Gradient Coding for Semi-Decentralized Federated Learning. - Shudi Weng; Chengxi Li 015; Ming Xiao 001; Mikael Skoglund (GLOBECOM, 2024)

A Communication-Efficient Semi-Decentralized Approach for Federated Learning with Stragglers. - Chengxi Li 015; Ming Xiao 001; Mikael Skoglund (ITW, 2024)

Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation. - Chengxi Li 015; Ming Xiao 001; Mikael Skoglund (CoRR, 2024)

Decentralized Learning Based on Gradient Coding With Compressed Communication. - Chengxi Li 015; Mikael Skoglund (IEEE Trans. Signal Process., 2024)

Distributed Learning Based on 1-Bit Gradient Coding in the Presence of Stragglers. - Chengxi Li 015; Mikael Skoglund (IEEE Trans. Commun., 2024)

Coded Robust Aggregation for Distributed Learning under Byzantine Attacks. - Chengxi Li 015; Ming Xiao 001; Mikael Skoglund (CoRR, 2025)