BlockFLow: Decentralized, Privacy-Preserving, and Accountable Federated Machine Learning von Mugunthan, Vaikkunth, Rahman, Ravi, Kagal, Lalana

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FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks von Mugunthan, Vaikkunth, Lin, Eric, Gokul, Vignesh, Lau, Christian, Kagal, Lalana, Pieper, Steve

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Utility-Enhancing Flexible Mechanisms for Differential Privacy von Mugunthan, Vaikkunth, Xiao, Wanyi, Kagal, Lalana

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Prior-Independent Auctions for the Demand Side of Federated Learning von Haupt, Andreas, Mugunthan, Vaikkunth

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PrimeGuard: Safe and Helpful LLMs through Tuning-Free Routing von Manczak, Blazej, Zemour, Eliott, Lin, Eric, Mugunthan, Vaikkunth

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Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection von Kim, Taehyeon, Lin, Eric, Lee, Junu, Lau, Christian, Mugunthan, Vaikkunth

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Multi-VFL: A Vertical Federated Learning System for Multiple Data and Label Owners von Mugunthan, Vaikkunth, Goyal, Pawan, Kagal, Lalana

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PrivacyFL: A simulator for privacy-preserving and secure federated learning von Mugunthan, Vaikkunth, Peraire-Bueno, Anton, Kagal, Lalana

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BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning von Mugunthan, Vaikkunth, Rahman, Ravi, Kagal, Lalana

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Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy von Byrd, David, Mugunthan, Vaikkunth, Polychroniadou, Antigoni, Balch, Tucker Hybinette

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Prior-Independent Auctions for the Demand Side of Federated Learning von Haupt, Andreas, Mugunthan, Vaikkunth

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Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information? von Sun, Albert Yu, Zemour, Eliott, Saxena, Arushi, Vaidyanathan, Udith, Lin, Eric, Lau, Christian, Mugunthan, Vaikkunth

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Bias-Free FedGAN: A Federated Approach to Generate Bias-Free Datasets von Mugunthan, Vaikkunth, Gokul, Vignesh, Kagal, Lalana, Dubnov, Shlomo

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DPD-InfoGAN: Differentially Private Distributed InfoGAN von Mugunthan, Vaikkunth, Gokul, Vignesh, Kagal, Lalana, Dubnov, Shlomo

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Methods and systems to track a moving sports object trajectory in 3D using a single camera von Brogan McPartland, Vivek Jayaram, Vaikkunth Mugunthan, Arjun Verma

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PrimeGuard: Safe and Helpful LLMs through Tuning-Free Routing von Manczak, Blazej, Zemour, Eliott, Lin, Eric, Mugunthan, Vaikkunth

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Gradient Masked Averaging for Federated Learning von Tenison, Irene, Sreeramadas, Sai Aravind, Mugunthan, Vaikkunth, Oyallon, Edouard, Rish, Irina, Belilovsky, Eugene

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Methods and systems to track a moving sports object trajectory in 3D using a single camera von Brogan McPartland, Vivek Jayaram, Vaikkunth Mugunthan, Arjun Verma

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Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection von Kim, Taehyeon, Lin, Eric, Lee, Junu, Lau, Christian, Mugunthan, Vaikkunth

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Methods and systems to automatically record relevant action in a gaming environment von Verma, Arjun, Mugunthan, Vaikkunth, McPartland, Brogan, Jayaram, Vivek

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