Baturalp Buyukates

Book Chapters

1. Z. Batool, B. Buyukates, R. Nourmohammadi, and K. Zhang, Privacy Enhancing Technologies for Federated Learning, in Federated Learning Systems: Towards Privacy-Preserving Distributed Artificial Intelligence, 2nd Edition, M. H. Rehman and M. M. Gaber, Eds., Springer Nature, to appear, 2024.

2. M. Bastopcu, B. Buyukates, and S. Ulukus, Age of Information in Source Coding, in Age of Information: Foundations and Applications, N. Pappas, M. A. Abd-Elmagid, B. Zhou, W. Saad, H. S. Dhillon, Eds., Cambridge Univ. Press, 2023.

Submitted Journal Papers (Under Review)

Journal Papers (Published/To Appear)

1. A. Sheshmani, Y. You, B. Buyukates, A. Ziashahabi, and A. S. Avestimehr, Renormalization Group Flow, Optimal Transport and Diffusion-based Generative Model, Physical Review E, to appear, June 2024. Available on ArXiv: 2402.17090.

2. B. Buyukates, J. So, H. Mahdavifar, and A. S. Avestimehr, LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning, IEEE Journal on Selected Areas in Information Theory, (5):285-301, April 2024

3. B. Buyukates, E. Ozfatura, S. Ulukus, and D. Gunduz, Gradient Coding with Dynamic Clustering for Straggler-Tolerant Distributed Learning, IEEE Transactions on Communications, 71(6):3317-3332, June 2023.

4. B. Buyukates, M. Bastopcu, and S. Ulukus, Version Age of Information in Clustered Gossip Networks, IEEE Journal on Selected Areas in Information Theory, 3(1):85-97, March 2022.

5. M. Bastopcu, B. Buyukates, and S. Ulukus, Selective Encoding Policies for Maximizing Information Freshness, IEEE Transactions on Communications, 69(9):5714-5726, September 2021.

6. B. Buyukates, A. Soysal, and S. Ulukus, Scaling Laws for Age of Information in Wireless Networks, IEEE Transactions on Wireless Communications, 20(4):2413-2427, April 2021.

7. B. Buyukates and S. Ulukus, Timely Distributed Computation with Stragglers, IEEE Transactions on Communications, 68(9):5273-5282, September 2020.

8. B. Buyukates, A. Soysal, and S. Ulukus, Age of Information in Multihop Multicast Networks, Journal of Communications and Networks, special issue on Age of Information, 21(3):256-267, June 2019.

Peer-Reviewed Conference Papers

1. M. Yang, B. Buyukates, I. Jarin, A. S. Avestimehr, A. Markopoulou, Maverick-Aware Shapley Valuation for Client Selection in Federated Learning, submitted.

2. Y. F. Bakman, D. N. Yaldiz, B. Buyukates, C. Tao, D. Dimitriadis, A. S. Avestimehr, Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs, submitted. Available on ArXiv: 2406.11278.

3. S. Han, W. Wu, B. Buyukates, W. Jin, Y. Yao, Q. Zhang, A. S. Avestimehr, and C. He, Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification, submitted.

4. S. Li, S. Hou, B. Buyukates, and A. S. Avestimehr, Secure Federated Clustering, submitted.

5. Y. F. Bakman, D. N. Yaldiz, B. Buyukates, C. Tao, D. Dimitriadis, A. S. Avestimehr, MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs, 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, August 2024.

6. S. Han, B. Buyukates, Z. Hu, H. Jin, W. Jin, L. Sun, X. Wang, W. Wu, C. Xie, Y. Yao, K. Zhang, Q. Zhang, Y. Zhang, A. S. Avestimehr, and C. He, FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Barcelona, Spain, August 2024.

7. A. Ziashahabi, B. Buyukates, A. Sheshmani, Y. You, A. S. Avestimehr, Frequency Domain Diffusion Model with Scale-Dependent Noise Schedule, IEEE International Symposium on Information Theory (ISIT), Athens, Greece, July 2024.

8. Y. F. Bakman, D. N. Yaldiz, B. Buyukates, C. Tao, D. Dimitriadis, A. S. Avestimehr, Predicting Uncertainty of Generative LLMs with MARS: Meaning-Aware Response Scoring, IEEE International Symposium on Information Theory (ISIT), Athens, Greece, July 2024.

9. B. Buyukates, C.He, S. Han, Z. Fang, Y. Zhang, J. Long, A. Farahanchi, and A. S. Avestimehr, Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain, IEEE International Conference on Decentralized Applications and Infrastructures, Athens, Greece, July 2023.

10. M. Bastopcu, B. Buyukates, and S. Ulukus, Gossiping with Binary Freshness Metric, IEEE Global Communications Conference, Madrid, Spain, December 2021.

11. B. Buyukates, M. Bastopcu, and S. Ulukus, Age of Gossip in Networks with Community Structure, IEEE International Workshop on Signal Processing Advances in Wireless Communications, Lucca, Italy, September 2021. (Best Student Paper Award First Place)

12. B. Buyukates, E. Ozfatura, S. Ulukus, and D. Gunduz, Gradient Coding with Dynamic Clustering for Straggler Mitigation, IEEE International Conference on Communicationsn, Montreal, Canada, June 2021.

13. B. Buyukates and S. Ulukus, Timely Communication in Federated Learning, IEEE INFOCOM Workshop on Age of Information, May 2021.

14. E. Ozfatura, B. Buyukates, D. Gunduz, and S. Ulukus, Age-Based Coded Computation for Bias Reduction in Distributed Learning, IEEE Global Communications Conference, Taipei, Taiwan, December 2020.

15. B. Buyukates and S. Ulukus, Timely Updates in Distributed Computation Systems with Stragglers, 54th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November 2020. (Best Student Paper Award Second Place)

16. B. Buyukates, M. Bastopcu, and S. Ulukus, Optimal Selective Encoding for Timely Updates with Empty Symbol, IEEE International Symposium on Information Theory, Los Angeles, CA, June 2020.

17. B. Buyukates and S. Ulukus, Age of Information with Gilbert-Elliot Servers and Samplers, Conference on Information Sciences and Systems, Princeton, NJ, March 2020.

18. M. Bastopcu, B. Buyukates, and S. Ulukus, Optimal Selective Encoding for Timely Updates, Conference on Information Sciences and Systems, Princeton, NJ, March 2020.

19. B. Buyukates, A. Soysal, and S. Ulukus, Age of Information Scaling in Large Networks with Hierarchical Cooperation, IEEE Global Communications Conference, Waikoloa, HI, December 2019.

20. B. Buyukates, A. Soysal, and S. Ulukus, Age of Information in Multicast Networks with Multiple Update Streams, 53rd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November 2019. (Best Student Paper Award Finalist)

21. B. Buyukates, A. Soysal, and S. Ulukus, Age of Information Scaling in Large Networks, IEEE International Conference on Communications, Shanghai, China, May 2019.

22. B. Buyukates, A. Soysal, and S. Ulukus, Age of Information in Two-Hop Multicast Networks, 52nd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, October 2018.

23. B. Buyukates, D. Sarica, and E. U. Saritas, Self Calibration for Relaxation- and System-Induced Delays in X-space MPI, 6th International Workshop on Magnetic Particle Imaging, Lubeck, Germany, March 2016.

Peer-Reviewed Workshop Papers

1. M. Yang, I. Jarin, B. Buyukates, A. S. Avestimehr, A. Markopoulou, Maverick-Aware Shapley Valuation for Client Selection in Federated Learning, ISIT 2024 Workshop on Information-Theoretic Methods for Trustworthy Machine Learning (IT-TML), Athens, Greece, July 2024.

2. Y. F. Bakman, D. N. Yaldiz, B. Buyukates, C. Tao, D. Dimitriadis, A. S. Avestimehr, MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs, ICLR 2024 Workshop on Secure and Trustworthy Large Language Models, Vienna, Austria, May 2024.

3. B. Buyukates, J. So, H. Mahdavifar, and A. S. Avestimehr, LightVeriFL: Lightweight and Verifiable Secure Federated Learning, International Workshop on Federated Learning: Recent Advances and New Challenges in Conjunction with NeurIPS (FL-NeurIPS’22), December 2022. (Oral presentation)