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cs.LG2026
Beyond Factor Aggregation: Gauge-Aware Low-Rank Server Representations for Federated LoRA
Jinqian Chen, Chang Liu, Jihua Zhu
Federated LoRA enables parameter-efficient adaptation of large language models under decentralized data and limited client resources.However, directly averaging LoRA factors is rep…
cs.LG2026
FedPSA: Modeling Behavioral Staleness in Asynchronous Federated Learning
Chaoyi Lu, Yiding Sun, Zhichuan Yang +3
Asynchronous Federated Learning (AFL) has emerged as a significant research area in recent years. By not waiting for slower clients and executing the training process concurrently,…