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Articles

Computer Science > Machine Learning

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By Kfir Y. Levy
| arxiv.org
Collaborative learning is sustainable only when it benefits each participant. Standard federated learning optimizes a global average objective, which can under perform for clients whose data distributions differ substantially from the population. We study selfish personalization: how a designated target client can use peer gradients to minimize its own risk while avoiding negative transfer.
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[2510.22586] Prediction-Powered Semi-Supervised Learning with Online Power Tuning

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By Ron Dorfman, Shalev Shaer, Kfir Y. Levy, Yaniv Romano
| arxiv.org
arXiv:2510.22586 (cs) View PDF HTML (experimental) Comments: Subjects: Machine Learning (cs.LG) Cite as: arXiv:2510.22586 [cs.LG] (or arXiv:2510.22586v1 [cs.LG] for this version) https://doi.org/10.48550/arXiv.2510.22586 Submission history From: Ron Dorfman [ view email] [v1] Sun, 26 Oct 2025 09:01:02 UTC (705 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is...
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[2506.00961] Enhancing Parallelism in Decentralized Stochastic Convex Optimization

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By Ron Dorfman, Kfir Y. Levy
| arxiv.org
arXiv:2506.00961 (cs) View PDF HTML (experimental) Comments: Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML) Cite as: arXiv:2506.00961 [cs.LG] (or arXiv:2506.00961v1 [cs.LG] for this version) https://doi.org/10.48550/arXiv.2506.00961 Submission history From: Ron Dorfman [ view email] [v1] Sun, 1 Jun 2025 11:17:32 UTC (1,383 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps...
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