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Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and data mining , pages=

Fedcp: Separating feature information for personalized federated learning via conditional policy , author=

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FedSDR: Federated Self-Distillation with Rectification

cs.LG · 2026-05-18 · unverdicted · novelty 5.0

FedSDR augments federated self-distillation with dual LoRA streams (local smoothing and global rectification) to produce globally aligned, factually faithful models under statistical heterogeneity.

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  • FedSDR: Federated Self-Distillation with Rectification cs.LG · 2026-05-18 · unverdicted · none · ref 37

    FedSDR augments federated self-distillation with dual LoRA streams (local smoothing and global rectification) to produce globally aligned, factually faithful models under statistical heterogeneity.