Long-term multi-agent systems continuously accumulate the memories produced by different agents. Existing memory methods typically treat retrieved memories as independent evidence and combine them through voting or weighting. However, this independence assumption often fails in multi-agent settings: memories written by...
Chen-Chen Lin, Wen-Hao Yuan, Xuehe Wang et al.· 2 citations
This paper introduces CoCA, an on-policy learning framework that recovers a deployable capability-subset policy from sparse conditional comparisons, and introduces dual-level on-policy distillation to address distribution mismatch both across environment states and within the partial subsets encountered during set cons...
Wen-Hao Yuan, Chen-Chen Lin, Jian Chen et al.· 0 citations
A client-specific adaptation channel based on private prompt tokens, which tracks local adaptation dynamics separately from the shared backbone and provides a lightweight signal for detecting whether client adaptation remains active, and a shallow sufficiency estimator that combines cross-client semantic alignment, tem...
Wen-Hao Yuan, Chen-Chen Lin, Wentao Hu et al.· 0 citations
A domain-sensitive federated pruning framework that preserves domain-invariant structures while retaining domain-specific representations and a structure-aware aggregation algorithm that fuses heterogeneous personalized architectures into a domain-generalized global model is proposed.
Chenchen Lin, Wenhao Yuan, Zhengji Xu et al.· 0 citations
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