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cs.DC2026
Federated Inference for Heterogeneous LLM Communication and Collaboration
Zihan Chen, Zeshen Li, Howard H. Yang +2
Given the limited performance and efficiency of on-device Large Language Models (LLMs), the collaborations between multiple LLMs enable desirable performance enhancements, in which…
cs.DC2025
Age-Aware Partial Gradient Update Strategy for Federated Learning Over the Air
Ruihao Du, Jiaqi Zhu, Zeshen Li +1
Frequent parameter exchanges between clients and the edge server incur substantial communication overhead, posing a critical bottleneck in federated learning (FL). By exploiting th…