Praneeth Vepakomma

机构：Massachusetts Institute of Technology · ORCID：0000-0003-2296-9296

发表论文 67 篇 · 总被引 6821 次 · h-index 14

代表论文

• LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning (2022 · Proceedings of the ACM Web Conference 2022 · 被引 53)
• Mix2SFL: Two-Way Mixup for Scalable, Accurate, and Communication-Efficient Split Federated Learning (2023 · IEEE Transactions on Big Data · 被引 10)
• PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval (2022 · Proceedings of the AAAI Conference on Artificial Intelligence · 被引 6)
• Towards a Unified Framework for Split Learning (2025 · 被引 4)
• Differentially Private CutMix for Split Learning with Vision Transformer (2022 · arXiv (Cornell University) · 被引 4)
• Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning (2022 · arXiv (Cornell University) · 被引 4)