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Author

Gauri Joshi

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#machine learning Preprint Jul 2026

FedGuide: Diffusion Prior Alignment and Value Baseline Guidance for Heterogeneous Federated Reinforcement Learning

FedGuide is proposed, a FRL framework that uses diffusion priors as behavior models to provide personalized data supported distributions for heterogeneous local policy learning and develops a Distribution Correction Estimation value baseline to provide low-variance, return-aware guidance for local policy improvement.

Zhi-Lin He, Gauri Joshi · 0 citations
Book Open access Aug 2026

Toward WAN-Aware LLM Training Across Heterogeneous, Geo-Distributed Sites

Preliminary results from a geo-distributed LLM training prototype that treats networking constraints as first-order design concerns are presented, motivating adaptive networking support for synchronization, compression, placement, telemetry, and recovery in geo-distributed LLM training.

Zi-Yue Luo, Jiaxuan Cai, Cedric Le Denmat et al. · 0 citations

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