Digital Privacy in Healthcare: State-of-the-Art and Future Vision von Mahadik, Shalaka S., Pawar, Pranav M., Muthalagu, Raja, Prasad, Neeli Rashmi, Hawkins, Sin-Kuen, Stripelis, Dimitris, Rao, Sreedhar, Ejim, Peter, Hecht, Bruce

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Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings von Stripelis, Dimitris, Thompson, Paul M., Ambite, José Luis

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Federated Deep Learning for Detecting Alzheimer’s Disease in Multi‐Cohort Brain MRI von Stripelis, Dimitris, Dhinagar, Nikhil J, Romero, Rafael V. Sanchez, Thomopoulos, Sophia I, Thompson, Paul M, Ambite, Jose Luis

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Alzheimer’s Disease Detection with a 3D Convolutional Neural Network using Gray Matter Maps from T1‐weighted Brain MRI von Dhinagar, Nikhil J, Thomopoulos, Sophia I, Owens‐Walton, Conor, Stripelis, Dimitris, Ambite, Jose Luis, Steeg, Greg Ver, Thompson, Paul M

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Applying Multivariate Segmentation Methods to Human Activity Recognition From Wearable Sensors' Data von Li, Kenan, Habre, Rima, Deng, Huiyu, Urman, Robert, Morrison, John, Gilliland, Frank D, Ambite, José Luis, Stripelis, Dimitris, Chiang, Yao-Yi, Lin, Yijun, Bui, Alex At, King, Christine, Hosseini, Anahita, Vliet, Eleanne Van, Sarrafzadeh, Majid, Eckel, Sandrah P

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A federated learning architecture for secure and private neuroimaging analysis von Stripelis, Dimitris, Gupta, Umang, Saleem, Hamza, Dhinagar, Nikhil, Ghai, Tanmay, Anastasiou, Chrysovalantis, Sánchez, Rafael, Steeg, Greg Ver, Ravi, Srivatsan, Naveed, Muhammad, Thompson, Paul M., Ambite, José Luis

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Towards Sparsified Federated Neuroimaging Models via Weight Pruning von Stripelis, Dimitris, Gupta, Umang, Dhinagar, Nikhil, Steeg, Greg Ver, Thompson, Paul M., Ambite, José Luis

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Federated Learning over Harmonized Data Silos von Stripelis, Dimitris, Ambite, Jose Luis

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Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings von Stripelis, Dimitris, Ambite, Jose Luis

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Scaling Neuroscience Research with Federated Learning von Stripelis, Dimitris

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Performance Weighting for Robust Federated Learning Against Corrupted Sources von Stripelis, Dimitris, Abram, Marcin, Ambite, Jose Luis

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Accelerating Federated Learning in Heterogeneous Data and Computational Environments von Stripelis, Dimitris, Ambite, Jose Luis

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Federated Named Entity Recognition von Mathew, Joel, Stripelis, Dimitris, Ambite, José Luis

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Federated Learning over Harmonized Data Silos von Stripelis, Dimitris, Ambite, José Luis

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Federated Learning over Harmonized Data Silos von Stripelis, Dimitris, Ambite, Jose Luis

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Federated Progressive Sparsification (Purge, Merge, Tune) von Stripelis, Dimitris, Gupta, Umang, Steeg, Greg Ver, Ambite, Jose Luis

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MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows von Stripelis, Dimitris, Anastasiou, Chrysovalantis, Toral, Patrick, Asghar, Armaghan, Ambite, Jose Luis

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TensorOpera Router: A Multi-Model Router for Efficient LLM Inference von Stripelis, Dimitris, Hu, Zijian, Zhang, Jipeng, Xu, Zhaozhuo, Shah, Alay Dilipbhai, Jin, Han, Yao, Yuhang, Avestimehr, Salman, He, Chaoyang

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TorchOpera: A Compound AI System for LLM Safety von Han, Shanshan, Hu, Zijian, Shah, Alay Dilipbhai, Jin, Han, Yao, Yuhang, Stripelis, Dimitris, Xu, Zhaozhuo, He, Chaoyang

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Alopex: A Computational Framework for Enabling On-Device Function Calls with LLMs von Ran, Yide, Xu, Zhaozhuo, Yao, Yuhang, Hu, Zijian, Han, Shanshan, Jin, Han, Shah, Alay Dilipbhai, Zhang, Jipeng, Stripelis, Dimitris, Zhang, Tong, Avestimehr, Salman, He, Chaoyang

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