Publications
Journal Papers
J. So, K. Hsieh, B. Arzani, S. Noghabi, A.S. Avestimehr, R. Chandra "FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations," in preparation.
B. Buyukates, J. So, H. Mahdavifar, A.S. Avestimehr, "LightVeriFL: Lightweight and Verifiable Secure Federated Learning," accepted to IEEE Journal on Selected Areas in Information Theory.
J. So, B. Güler, and A. S. Avestimehr.,"Byzantine-resilient secure federated learning," in IEEE Journal on Selected Areas in Communications, vol. 39, no. 7, pp. 2168-2181, Jul. 2021. (citation: +190)
J. So*, B. Güler*, and A. S. Avestimehr, "CodedPrivateML: A fast and privacy-preserving framework for distributed machine learning," in IEEE Journal on Selected Areas in Information Theory, vol. 2, no. 1, pp. 441-451, Mar. 2021. (citation: +100)
J. So, B. Güler, and A. S. Avestimehr, "Turbo-aggregate: Breaking the quadratic aggregation barrier in secure federated learning," in IEEE Journal on Selected Areas in Information Theory}, vol. 2, no. 1, pp. 2641-8770, Mar. 2021. (citation: +230)
Conference Papers
J. So, H. Kwon "Universal Auto-Encoder Framework for MIMO CSI feedback," in 2023 IEEE Global Communications Conference (Globecom), Dec. 2023.
J. So*, R.E. Ali*, B Guler, J. Jiao, A.S. Avestimehr, ``Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning,'' in The 37th AAAI Conference on Artificial Intelligence, Feb. 2023.
B. Buyukates, J. So, H. Mahdavifar, A.S. Avestimehr, "LightVeriFL: Lightweight and Verifiable Secure Federated Learning," in Workshop on Federated Learning: Recent Advances and New Challenges (in Conjunction with NeurIPS 2022), Dec. 2022.
J. So*, C. He*, C Yang*, S. Li, R.E. Ali, B Guler, Q. Yu, and S. Avestimehr. "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning," in the 5th Conference on Machine Learning and Systems (MLSys), Aug. 2022. (citation:+100)
J. So*, R. E. Ali*, B. Guler, J Jiao, A.S. Avestimehr, “Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning,” in International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction with AAAI (FL-AAAI-22), Mar. 2022.
J. So, R.E. Ali, B. Guler, A.S. Avestimehr. "Secure Aggregation for Buffered Asynchronous Federated Learning," in Workshop on New Frontiers in Federated Learning (in Conjunction with NeurIPS), Dec. 2021.
C. Yang, J. So, C. He, S. Li, Q. Yu, and S. Avestimehr, "LightSecAgg: Rethinking Secure Aggregation in Federated Learning,'' in IEEE Information Theory Workshop (ITW), Dec. 2021.
J. So*, R.E. Ali*, A.S. Avestimehr, "On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks," in Workshop on Privacy-preserving Machine Learning (in Conjunction with NeurIPS), Dec. 2020.
C. He, S. Li, J. So, M. Zhang, H. Wang, X. Wang, P. Vepakomma et al. "Fedml: A research library and benchmark for federated machine learning," in Workshop on Scalability, Privacy, and Security in Federated Learning (SpicyFL) in Conjunction with NeurIPS, Dec. 2020. (Best Paper Award, citation:+450)
J. So, B. Güler, and A. S. Avestimehr. "A Scalable Approach for Privacy-Preserving Collaborative Machine Learning," in the 34th Conference on Neural Information Processing Systems (NeurIPS), Dec. 2020.
J. So, B. Güler, and A. S. Avestimehr. "Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning,'' in ICML Workshop on Federated Learning for User Privacy and Data Confidentiality}, Jul. 2020, (Long Presentation).
J. So, B. Güler, P. Mohassel, and A. S. Avestimehr. "CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning," in International Workshop on Coding Theory For Large-scale Machine Learning (CodML) in Conjunction with ICML, Jun. 2019.
J. So, S. Choi, S. H. Ahn, E. Jeong, and Y. H. Lee. "Digital Predistortion Based on Envelope Feedback," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)}, Mar. 2012.
S. Choi, E. Jeong, B. Lee, J. So, and Y. H. Lee. "New Predistortion Technique for Wideband Power Amplifiers of Dual-Band Transmission Systems," in the 21st Joint Conference on Communications & Information 2011, May. 2011.