Recent publications
Article
Buyukates, B, So, J, Mahdavifar, H & Avestimehr, S 2024, 'LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning', IEEE Journal on Selected Areas in Information Theory, vol. 5, pp. 285-301. https://doi.org/10.1109/JSAIT.2024.3391849
Buyukates, B, Ozfatura, E, Ulukus, S & Gündüz, D 2023, 'Gradient Coding With Dynamic Clustering for Straggler-Tolerant Distributed Learning', IEEE Transactions on Communications, vol. 71, no. 6, pp. 3317-3332. https://doi.org/10.1109/TCOMM.2022.3166902
Buyukates, B, Bastopcu, M & Ulukus, S 2022, 'Version Age of Information in Clustered Gossip Networks', IEEE Journal on Selected Areas in Information Theory, vol. 3, no. 1, pp. 85-97. https://doi.org/10.1109/JSAIT.2022.3159745
Comment/debate
Buyukates, B, So, J, Mahdavifar, H & Avestimehr, S 2024, 'Erratum to “LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning”', IEEE Journal on Selected Areas in Information Theory, vol. 5, pp. 570-571. https://doi.org/10.1109/JSAIT.2024.3413928
Conference contribution
Ziashahabi, A, Buyukates, B, Sheshmani, A, You, Y-Z & Avestimehr, S 2024, Frequency Domain Diffusion Model with Scale-Dependent Noise Schedule. in 2024 IEEE International Symposium on Information Theory (ISIT). IEEE International Symposium on Information Theory, IEEE, pp. 19-24, 2024 IEEE International Symposium on Information Theory (ISIT), Athens, Greece, 7/07/24. https://doi.org/10.1109/ISIT57864.2024.10619452
Bakman, YF, Yaldiz, DN, Buyukates, B, Avestimehr, S, Tao, C & Dimitriadis, D 2024, Predicting Uncertainty of Generative LLMs with MARS: Meaning-Aware Response Scoring. in 2024 IEEE International Symposium on Information Theory (ISIT). IEEE International Symposium on Information Theory, IEEE, pp. 2033-2037, 2024 IEEE International Symposium on Information Theory (ISIT), Athens, Greece, 7/07/24. https://doi.org/10.1109/ISIT57864.2024.10619136
Buyukates, B, He, C, Han, S, Fang, Z, Zhang, Y, Long, J, Farahanchi, A & Avestimehr, S 2023, Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain. in 2023 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS). IEEE International Conference on Decentralized Applications and Infrastructures, IEEE, pp. 13-22, 2023 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS), Athens, Greece, 17/07/23. https://doi.org/10.1109/DAPPS57946.2023.00012
Bastopcu, M, Buyukates, B & Ulukus, S 2022, Gossiping with Binary Freshness Metric. in 2021 IEEE Globecom Workshops (GC Wkshps)., 9682174, IEEE Globecom Workshop, IEEE, 2021 IEEE Globecom Workshops (GC Wkshps), 7/12/21. https://doi.org/10.1109/GCWkshps52748.2021.9682174
Preprint
Yaldiz, DN, Bakman, YF, Buyukates, B, Tao, C, Ramakrishna, A, Dimitriadis, D & Avestimehr, S 2024 'Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs' arXiv, pp. 1-16. https://doi.org/10.48550/arXiv.2406.11278
Bakman, YF, Yaldiz, DN, Buyukates, B, Tao, C, Dimitriadis, D & Avestimehr, S 2024 'MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs' arXiv, pp. 1-16. https://doi.org/10.48550/arXiv.2402.11756
Yang, M, Jarin, I, Buyukates, B, Avestimehr, S & Markopoulou, A 2024 'Maverick-Aware Shapley Valuation for Client Selection in Federated Learning' arXiv, pp. 1-8. https://doi.org/10.48550/arXiv.2405.12590
Sheshmani, A, You, Y-Z, Buyukates, B, Ziashahabi, A & Avestimehr, S 2024 'Renormalization Group flow, Optimal Transport and Diffusion-based Generative Model' arXiv. https://doi.org/10.48550/arXiv.2402.17090
Han, S, Buyukates, B, Hu, Z, Jin, H, Jin, W, Sun, L, Wang, X, Wu, W, Xie, C, Yao, Y, Zhang, K, Zhang, Q, Zhang, Y, Joe-Wong, C, Avestimehr, S & He, C 2023 'FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs' arXiv, pp. 1-12. https://doi.org/10.48550/arXiv.2306.04959
Han, S, Wu, W, Buyukates, B, Jin, W, Zhang, Q, Yao, Y, Avestimehr, S & He, C 2023 'Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification' arXiv, pp. 1-17. https://doi.org/10.48550/arXiv.2310.04055
Li, S, Hou, S, Buyukates, B & Avestimehr, S 2022 'Secure Federated Clustering' arXiv, pp. 1-20. https://doi.org/10.48550/arXiv.2205.15564
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