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Publications

Here is a list of selected publications from our laboratory.

Selected Conference & Journal Papers

  • FedOptim: Scaling Federated Learning with Communication-Efficient Distributed Optimization Authors: Alice Smith, Bob Johnson, and Charlie Brown IEEE Transactions on Signal and Information Processing, 2026.

  • Robust Secure Aggregation in Heterogeneous Federated Learning Systems Authors: David Lee and Emily Davis Proceedings of the International Conference on Machine Learning (ICML), 2025.

  • Differential Privacy for Decentralized Deep Learning: Trade-offs and Optimization Authors: Alice Smith and Frank White IEEE/ACM Transactions on Networking, 2025.

  • Client Selection for Federated Learning under Non-IID Data Distributions Authors: Bob Johnson, Charlie Brown, and Grace Ho Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), 2024.