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Secure Distributed Training at Scale., , , and . CoRR, (2021)Training Transformers Together., , , , , , , and . NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 335-342. PMLR, (2021)Training Transformers Together., , , , , , , and . CoRR, (2022)Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts., and . NeurIPS, (2020)The Hallucinations Leaderboard - An Open Effort to Measure Hallucinations in Large Language Models., , , , , , , , , and 1 other author(s). CoRR, (2024)Embedding Words in Non-Vector Space with Unsupervised Graph Learning., , , and . EMNLP (1), page 7317-7331. Association for Computational Linguistics, (2020)Hypernymy Understanding Evaluation of Text-to-Image Models via WordNet Hierarchy., and . CoRR, (2023)SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 29416-29440. PMLR, (2023)Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices., , , and . NeurIPS, page 18195-18211. (2021)Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees., , , , and . NeurIPS, (2022)