Acknowledgments and Academic Citations

📚 11. Acknowledgments, Leveraged Open-Source GitHub Repositories & Academic Citations (v3.8.0)

Project HiveMind gratefully acknowledges the open-source distributed machine learning community, academic researchers across outer-loop DiLoCo and Mixture-of-Experts (MoE) architectures, and our vibrant human & AI contributor community (217 merged Pull Requests across Seasons 1–18).

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1. Leveraged Open-Source GitHub Repositories (Cloned & Integrated in Season 8 / Wave 7)

All 8 upstream reference repositories are archived in sub_projects/hivemind/reference_repos/ and programmatically registered in LEVERAGED_GITHUB_REPOSITORIES (src/hivemind/swarm/diloco_nextgen.py):

Repository	Authors / Organization	License	Associated Paper	Integrated HiveMind Component (src/hivemind/swarm/diloco_nextgen.py)
one-covenant/SparseLoCo	Amir Sarfi, Benjamin Thérien, Stefan Horoi, Eugene Belilovsky (Mila / Concordia / Covenant)	MIT	arXiv:2508.15706	ComputeVisibleSparseLoCoCompressor (SI-09B: 2-bit 4-bin empirical statistical centroid LUT quantization + Top-$k$ outer error feedback) & ChunkedOrthonormalDCTTransform (SI-09C)
shoroi/isoloco	Stefan Horoi, Amir Sarfi, Eugene Belilovsky (Mila / Concordia University)	MIT	arXiv:2607.03011	ReputationWeightedIsoCTSMerger (SI-07: Isotropic Covariance ISO-C + Common & Task-Specific ISO-CTS subspace orthogonalization) & TSVDecorrelatedMerger (SI-07B: tsvloco.py Task Singular Vector whitening)
PrimeIntellect-ai/OpenDiLoCo	Sami Jaghouar, Jack Min Ong, Johannes Hagemann (Prime Intellect)	Apache-2.0	arXiv:2407.07852	CPUOffloadedFlatBucketOuterState (SI-06B: CPU-offloaded outer parameter & pseudo-gradient management over Hivemind DHT)
PrimeIntellect-ai/prime-diloco	Prime Intellect Team (Sami Jaghouar, Jack Min Ong, Johannes Hagemann et al.)	Apache-2.0	arXiv:2407.07852	CPUOffloadedFlatBucketOuterState (SI-06B: contiguous flat 1D FP32 CPU master-weight buffer with 0 B extra GPU VRAM overhead, inspired by zeroband/diloco.py)
bloc97/DeMo	Bowen Peng (bloc97), Jeffrey Quesnelle, Diederik P. Kingma (Nous Research)	Apache-2.0	arXiv:2411.19870	ChunkedOrthonormalDCTTransform (SI-09C: orthonormal 2D chunked Type-II Discrete Cosine Transform TransformDCT, hardened with bitwise-deterministic index_copy_ instead of CUDA scatter_reduce_)
google-deepmind/asyncdiloco	Arthur Douillard, Qixuan Feng, Andrei A. Rusu, Rachita Chhaparia, Yani Donchev et al. (Google DeepMind)	Apache-2.0	arXiv:2401.09135	CosineGatedAdamDecayOuterOptimizer (SI-06: asynchronous worker-delay & streaming fragment-age tables)
pmerolla/fomoe	Paul Merolla (Fast Opportunistic Mixture of Experts)	MIT	github.com/pmerolla/fomoe	SkipAttentionSpeculativeRouter (SI-10: Skip-Attention pre-attention speculative expert prefetch achieving ~85.8% top-$k$ accuracy + Cache-Aware Routing CAR fallback)
learning-at-home/hivemind	Max Ryabinin, Anton Gusev, Anton Diskin, Denis Mazur et al. (Learning@Home / HSE)	MIT	arXiv:2006.16668	Foundational inspiration for decentralized Kademlia DHT parameter averaging (DecentralizedAverager) and WAN Mixture-of-Experts routing

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2. Complete Academic Citations (2020–2026 DiLoCo, MoE & Subspace Merging Literature)

1. Douillard et al. (2023) — DiLoCo: Distributed Low-Communication Training of Language Models (https://arxiv.org/abs/2311.08105)
2. Douillard et al. (2024) — Asynchronous Local-SGD Training for Language Modeling (https://arxiv.org/abs/2401.09135)
3. Jaghouar, Ong, & Hagemann (2024) — OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training (https://arxiv.org/abs/2407.07852)
4. Peng, Quesnelle, & Kingma (2024) — DeMo: Decoupled Momentum Optimization (https://arxiv.org/abs/2411.19870)
5. Douillard et al. (2025) — Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch (https://arxiv.org/abs/2501.18512)
6. Charles et al. (2025) — Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo (https://arxiv.org/abs/2503.09799)
7. Sarfi, Thérien, Horoi, & Belilovsky (2025) — SparseLoCo: Communication-Efficient Distributed Training with Sparse Low-Bit Pseudo-Gradients (https://arxiv.org/abs/2508.15706)
8. Kwon & Kim (2025a) — Scaling Distributed Low-Communication Training with One-Bit Quantization (PoLoCo) (https://arxiv.org/abs/2510.17558)
9. Kwon & Kim (2025b) — Skip the Negatives: Clamp-Guided Quantization for Outer-Loop Distributed Training (SNQ-L) (https://arxiv.org/abs/2512.02042)
10. Miahi & Belilovsky (2026) — Skip the Invisible Updates: Checkpointing Pseudo-Gradient Sparsification for DiLoCo (PULSELoCo) (https://arxiv.org/abs/2602.03839)
11. Khaled & Jin (2026) — Tighter Convergence Bounds for Distributed Low-Communication Training (https://arxiv.org/abs/2602.06954)
12. Bogachev & Ryabinin (2026) — Analysis of the Generalization Fidelity of DiLoCo vs Data-Parallel Training (https://arxiv.org/abs/2602.23029)
13. Sani & Lane (2026) — Gradient-Less Federated Gradient Boosted Trees (FGBoost) (https://arxiv.org/abs/2603.24124)
14. Sani, Iacob, Cao, Qiu, & Lane (2026) — Decoupled DiLoCo: Asynchronous Distributed Training Without Global Barriers (https://arxiv.org/abs/2604.21428)
15. Shah & Sun (2026) — Cosine-Gated Adam-Decay (CGAD): Staleness-Aware Outer Optimization for Asynchronous DiLoCo (https://arxiv.org/abs/2605.09126)
16. Asif & Belilovsky (2026) — HeLoCo: Direction-Aware Outer Optimization for Heterogeneous Non-IID DiLoCo (https://arxiv.org/abs/2606.00271)
17. Sani, Iacob, & Lane (2026) — FoMoE: Federated Mixture-of-Experts with Partial Expert Replication and Skip-Token (https://arxiv.org/abs/2606.19025)
18. Horoi, Sarfi, & Belilovsky (2026) — IsoLoCo: Isotropic Subspace Merging for Scalable Low-Communication Training (https://arxiv.org/abs/2607.03011)
19. Thérien, Sarfi, & Belilovsky (2026) — MuLoCo: Inner Muon Optimization for Low-Communication Distributed Training (https://arxiv.org/abs/2607.12925)
20. Wang et al. (2026) — Subspace-Constrained Outer Optimization for DiLoCo (https://arxiv.org/abs/2608.05958)
21. Li et al. (2026) — FedLoCo: Federated Low-Communication Optimization with Drift Correction (https://arxiv.org/abs/2609.02737)
22. He & Tao (2026) — AutoLoCo: Adaptive Synchronization Intervals and Outer Optimizer Correction for DiLoCo (https://arxiv.org/abs/2609.36662)
23. Morales (2026) — How Inner Optimizers Shape Replica Scaling in Distributed Low-Communication Training (https://arxiv.org/abs/2610.19064)
24. Gargiulo et al. (2025) — Task Singular Vectors: Reducing Task Interference in Model Merging (https://arxiv.org/abs/2412.00081)
25. Marczak et al. (2025) — No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces (https://arxiv.org/abs/2502.04959)
26. Ryabinin & Gusev (2020) — Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts (https://arxiv.org/abs/2006.16668)

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3. Open-Source Contributor Acknowledgments & Hall of Honor (217 Merged Pull Requests)

HiveMind is an open autopoietic collaboration between human engineers, volunteer citizen compute providers, and autonomous AI coding agents:

• @xaviercallens: Founding Protocol Architect & Principal Maintainer. Conception of HiveMind, 4 Core Pillars, ANSE autopoietic physics, RTX 2070 stress suites, strategy optimizer (SI-01..05), and project stewardship.
• Claude Code Agent: Autonomous AI Co-Developer on over 100 Pull Requests (PR #180–#217), implementing router multi-endpoint dispatch, Litestream single-writer resilience, and Season 18 Energy-Bee specifications.
• Antigravity CLI Agent: Autonomous Neuro-Symbolic Agent enforcing zero-trust execution attestation, 25-vector red-team gate enforcement, 128 Lean 4 proof validations, and autonomous 30m/2h live monitoring.
• Pioneer #1 (user.913f8b6732605708): Pioneer Citizen Prosumer. First public prosumer node, serving 205 live completions on dedicated hardware and earning 844+ HMT in compute reciprocity.
• @clark719664: Grandmaster Core, Networking & Formal Verification. 44 merged Pull Requests across Waves 1–6 (PRs #6–#10, #21–#25, #32, #34–#42, #63–#77, #79–#82, #88–#91), 47 Lean 4 theorems, EF21-DiLoCo, and TURN ChannelBind.
• @pedromineo: Multi-Vendor GPU & Fault Resiliency. 5 merged Pull Requests (PR #33, #52–#55), WAN QUIC fault-injection, and 64KB CAS seeding.
• @radialmonster: Agent Arena & Steam Store Tooling. 2 merged Pull Requests (PR #11, #78), Season 6 Agent Arena HUD, and Steam tooling audits.
• @lyrasol99-dev: Infrastructure stability reviews and dashboard telemetry metrics.
• cybervalkyrie-fr-5ecb: Community Prosumer. Rapid onboarding, producer node contribution, and validation of hivemind/bee-stars.
• u/artsnumeriques: Community Champion (r/artificielle). Essential French community outreach guidance, ethical citizen AI advocacy, and forum moderation feedback.
• The 47 Registered Citizen Accounts & Prosumers: Providing decentralized inference compute and testing real workloads across France, Europe, and globally.