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HEAL: Resilient and Self-* Hub-based Learning

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arXiv:2605. 27475v1 Announce Type: new Abstract: Decentralized learning enhances privacy, scalability, and fault tolerance by distributing data and computation across nodes.

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Authors: Mohamed Amine Legheraba (NPA), Stefan Galkiewicz (NPA), Maria Gradinariu Potop-Butucaru (NPA), S\'ebastien Tixeuil (NPA, IUF, LINCS)
Released: 2026-05-28 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because HEAL: Resilient and Self-* Hub-based Learning overlaps with clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)", clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)", experiment "Follow-up to #354: cascading chunk-binding — does A→B, B→C, C→D propagate the full chain on a recipient trained only to emit A?". Matching terms: under, rate, full, model. Source: arxiv cs.LG (Machine Learning).
arXiv: 2605.27475

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