Age of Information in Two-Hop Multicast Networks. - Baturalp Buyukates; Alkan Soysal; Sennur Ulukus (ACSSC, 2018)

Age of Information in Multicast Networks with Multiple Update Streams. - Baturalp Buyukates; Alkan Soysal; Sennur Ulukus (ACSSC, 2019)

Age of Information Scaling in Large Networks with Hierarchical Cooperation. - Baturalp Buyukates; Alkan Soysal; Sennur Ulukus (GLOBECOM, 2019)

Age of Information Scaling in Large Networks. - Baturalp Buyukates; Alkan Soysal; Sennur Ulukus (ICC, 2019)

Age of information in multihop multicast networks. - Baturalp Buyukates; Alkan Soysal; Sennur Ulukus (J. Commun. Networks, 2019)

Timely Updates in Distributed Computation Systems with Stragglers. - Baturalp Buyukates; Sennur Ulukus (ACSSC, 2020)

Optimal Selective Encoding for Timely Updates. - Melih Bastopcu; Baturalp Buyukates; Sennur Ulukus (CISS, 2020)

Age of Information with Gilbert-Elliot Servers and Samplers. - Baturalp Buyukates; Sennur Ulukus (CISS, 2020)

Age-Based Coded Computation for Bias Reduction in Distributed Learning. - Emre Ozfatura; Baturalp Buyukates; Deniz Gündüz; Sennur Ulukus (GLOBECOM, 2020)

Optimal Selective Encoding for Timely Updates with Empty Symbol. - Baturalp Buyukates; Melih Bastopcu; Sennur Ulukus (ISIT, 2020)

Timely Distributed Computation With Stragglers. - Baturalp Buyukates; Sennur Ulukus (IEEE Trans. Commun., 2020)

Gossiping with Binary Freshness Metric. - Melih Bastopcu; Baturalp Buyukates; Sennur Ulukus (GLOBECOM (Workshops), 2021)

Gradient Coding with Dynamic Clustering for Straggler Mitigation. - Baturalp Buyukates; Emre Ozfatura; Sennur Ulukus; Deniz Gündüz (ICC, 2021)

Timely Communication in Federated Learning. - Baturalp Buyukates; Sennur Ulukus (INFOCOM Workshops, 2021)

Age of Gossip in Networks with Community Structure. - Baturalp Buyukates; Melih Bastopcu; Sennur Ulukus (SPAWC, 2021)

Selective Encoding Policies for Maximizing Information Freshness. - Melih Bastopcu; Baturalp Buyukates; Sennur Ulukus (IEEE Trans. Commun., 2021)

Scaling Laws for Age of Information in Wireless Networks. - Baturalp Buyukates; Alkan Soysal; Sennur Ulukus (IEEE Trans. Wirel. Commun., 2021)

Age of Information in Large Networks, Distributed Computation and Learning. - Baturalp Buyukates (2021)

Secure Federated Clustering. - Songze Li; Sizai Hou; Baturalp Buyukates; Salman Avestimehr (IACR Cryptol. ePrint Arch., 2022)

Version Age of Information in Clustered Gossip Networks. - Baturalp Buyukates; Melih Bastopcu; Sennur Ulukus (IEEE J. Sel. Areas Inf. Theory, 2022)

Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain. - Baturalp Buyukates; Chaoyang He 001; Shanshan Han; Zhiyong Fang; Yupeng Zhang 001; Jieyi Long; Ali Farahanchi; Salman Avestimehr (DAPPS, 2023)

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs. - Shanshan Han; Baturalp Buyukates; Zijian Hu 001; Han Jin; Weizhao Jin; Lichao Sun 001; Xiaoyang Wang; Chulin Xie; Kai Zhang 039; Qifan Zhang 002; Yuhui Zhang; Chaoyang He 001; et al. (CoRR, 2023)

Kick Bad Guys Out! Zero-Knowledge-Proof-Based Anomaly Detection in Federated Learning. - Shanshan Han; Wenxuan Wu; Baturalp Buyukates; Weizhao Jin; Yuhang Yao; Qifan Zhang 002; Salman Avestimehr; Chaoyang He 001 (CoRR, 2023)

Gradient Coding With Dynamic Clustering for Straggler-Tolerant Distributed Learning. - Baturalp Buyukates; Emre Ozfatura; Sennur Ulukus; Deniz Gündüz (IEEE Trans. Commun., 2023)

MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs. - Yavuz Faruk Bakman; Duygu Nur Yaldiz; Baturalp Buyukates; Chenyang Tao; Dimitrios Dimitriadis; Salman Avestimehr (ACL (1), 2024)

Predicting Uncertainty of Generative LLMs with MARS: Meaning-Aware Response Scoring. - Yavuz Faruk Bakman; Duygu Nur Yaldiz; Baturalp Buyukates; Salman Avestimehr; Chenyang Tao; Dimitrios Dimitriadis (ISIT, 2024)

Frequency Domain Diffusion Model with Scale-Dependent Noise Schedule. - Amir Ziashahabi; Baturalp Buyukates; Artan Sheshmani; Yi-Zhuang You; Salman Avestimehr (ISIT, 2024)

FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. - Shanshan Han; Baturalp Buyukates; Zijian Hu 001; Han Jin; Weizhao Jin; Lichao Sun 001; Xiaoyang Wang; Wenxuan Wu; Chulin Xie; Yuhang Yao; Kai Zhang 039; Qifan Zhang 002; et al. (KDD, 2024)

Maverick-Aware Shapley Valuation for Client Selection in Federated Learning. - Mengwei Yang; Ismat Jarin; Baturalp Buyukates; Salman Avestimehr; Athina Markopoulou (CoRR, 2024)

Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs. - Duygu Nur Yaldiz; Yavuz Faruk Bakman; Baturalp Buyukates; Chenyang Tao; Anil Ramakrishna; Dimitrios Dimitriadis; Salman Avestimehr (CoRR, 2024)

LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning. - Baturalp Buyukates; Jinhyun So; Hessam Mahdavifar; Salman Avestimehr (IEEE J. Sel. Areas Inf. Theory, 2024)

Erratum to "LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning". - Baturalp Buyukates; Jinhyun So; Hessam Mahdavifar; Salman Avestimehr (IEEE J. Sel. Areas Inf. Theory, 2024)

Reconsidering LLM Uncertainty Estimation Methods in the Wild. - Yavuz Faruk Bakman; Duygu Nur Yaldiz; Sungmin Kang; Tuo Zhang; Baturalp Buyukates; Salman Avestimehr; Sai Praneeth Karimireddy (ACL (1), 2025)

Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs. - Duygu Nur Yaldiz; Yavuz Faruk Bakman; Baturalp Buyukates; Chenyang Tao; Anil Ramakrishna; Dimitrios Dimitriadis; Jieyu Zhao; Salman Avestimehr (NAACL (Findings), 2025)

FedGrAINS: Personalized SubGraph Federated Learning with AdaptIve Neighbor Sampling. - Emir Ceyani; Han Xie; Baturalp Buyukates; Carl Yang 001; Salman Avestimehr (SDM, 2025)

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models. - Sizai Hou; Songze Li; Baturalp Buyukates (CoRR, 2025)

Balancing Information Accuracy and Response Timeliness in Networked LLMs. - Yigit Turkmen; Baturalp Buyukates; Melih Bastopcu (CoRR, 2025)