Rawad Bitar - RankMe

115 papers B 36C 2Misc 1Journal 76

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Security Framework for Chemical Functions. CoRR Frederik Walter, Hrishi Narayanan, Jessica Bariffi, Anne Lüscher, Rawad Bitar, Robert Grass, Antonia Wachter-Zeh, Zohar Yakhini
2026	J	`jnl`	Achieving DNA Labeling Capacity With Minimum Labels Through Extremal de Bruijn Subgraphs. IEEE Trans. Inf. Theory Christoph Hofmeister, Anina Gruica, Dganit Hanania, Rawad Bitar, Eitan Yaakobi
2026	J	`jnl`	Coding Schemes for Document Exchange under Multiple Substring Edits. CoRR Hrishi Narayanan, Vinayak Ramkumar, Rawad Bitar, Antonia Wachter-Zeh
2026	J	`jnl`	Fundamental Limits of Decentralized Self-Regulating Random Walks. CoRR Ali Khalesi, Rawad Bitar
2026	J	`jnl`	On the Extension of Private Distributed Matrix Multiplication Schemes to the Grid Partition. CoRR Christoph Hofmeister, Razane Tajeddine, Antonia Wachter-Zeh, Rawad Bitar
2025	J	`jnl`	BICompFL: Stochastic Federated Learning with Bi-Directional Compression. CoRR Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Nir Weinberger, Deniz Gündüz
2025	B	`conf`	Between Close Enough to Reveal and Far Enough to Protect: a New Privacy Region for Correlated Data. ITW Luis Maßny, Rawad Bitar, Fangwei Ye, Salim El Rouayheb
2025	J	`jnl`	Between Close Enough to Reveal and Far Enough to Protect: a New Privacy Region for Correlated Data. CoRR Luis Maßny, Rawad Bitar, Fangwei Ye, Salim El Rouayheb
2025	J	`jnl`	Byzantine-Resilient Gradient Coding Through Local Gradient Computations. IEEE Trans. Inf. Theory Christoph Hofmeister, Luis Maßny, Eitan Yaakobi, Rawad Bitar
2025	J	`jnl`	Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning. CoRR Maximilian Egger, Mayank Bakshi, Rawad Bitar
2025	B	`conf`	CAT and DOG: Improved Codes for Private Distributed Matrix Multiplication. ISIT Christoph Hofmeister, Rawad Bitar, Antonia Wachter-Zeh
2025	J	`jnl`	CAT and DOG: Improved Codes for Private Distributed Matrix Multiplication. CoRR Christoph Hofmeister, Rawad Bitar, Antonia Wachter-Zeh
2025	J	`jnl`	Cost-Efficient Distributed Learning via Combinatorial Multi-Armed Bandits. Entropy Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz
2025	B	`conf`	Efficient Machine Unlearning by Model Splitting and Core Sample Selection. ITW Maximilian Egger, Rawad Bitar, Rüdiger L. Urbanke
2025	J	`jnl`	Efficient Machine Unlearning by Model Splitting and Core Sample Selection. CoRR Maximilian Egger, Rawad Bitar, Rüdiger L. Urbanke
2025	J	`jnl`	Fed-DPRoC:Communication-Efficient Differentially Private and Robust Federated Learning. CoRR Yue Xia, Tayyebeh Jahani-Nezhad, Rawad Bitar
2025	J	`jnl`	Federated One-Shot Learning With Data Privacy and Objective-Hiding. IEEE Trans. Inf. Forensics Secur. Maximilian Egger, Rüdiger L. Urbanke, Rawad Bitar
2025	B	`conf`	Federated One-Shot Learning with Data Privacy and Objective-Hiding. ISIT Maximilian Egger, Rüdiger L. Urbanke, Rawad Bitar
2025	J	`jnl`	Federated One-Shot Learning with Data Privacy and Objective-Hiding. CoRR Maximilian Egger, Rüdiger L. Urbanke, Rawad Bitar
2025	J	`jnl`	Maximal-Capacity Discrete Memoryless Channel Identification. IEEE Trans. Inf. Theory Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
2025	J	`jnl`	Multi-Terminal Remote Generation and Estimation Over a Broadcast Channel With Correlated Priors. CoRR Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Nir Weinberger, Deniz Gündüz
2025	B	`conf`	Multi-Terminal Remote Generation and Estimation Over a Broadcast Channel with Correlated Priors. ISIT Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Nir Weinberger, Deniz Gündüz
2025	J	`jnl`	Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning. CoRR Yue Xia, Christoph Hofmeister, Maximilian Egger, Rawad Bitar
2025	B	`conf`	Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning. ITW Maximilian Egger, Rawad Bitar
2025	J	`jnl`	Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning. CoRR Maximilian Egger, Rawad Bitar
2025	J	`jnl`	Private Aggregation in Hierarchical Wireless Federated Learning With Partial and Full Collusion. IEEE Trans. Inf. Theory Maximilian Egger, Christoph Hofmeister, Antonia Wachter-Zeh, Rawad Bitar
2025	J	`jnl`	Private Inference in Quantized Models. IEEE Trans. Inf. Theory Zirui Deng, Vinayak Ramkumar, Rawad Bitar, Netanel Raviv
2025	J	`jnl`	ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning. CoRR Sena Ergisi, Luis Maßny, Rawad Bitar
2025	B	`conf`	Source Anonymity for Private Random Walk Decentralized Learning. ITW Maximilian Egger, Svenja Lage, Rawad Bitar, Antonia Wachter-Zeh
2025	J	`jnl`	Source Anonymity for Private Random Walk Decentralized Learning. CoRR Maximilian Egger, Svenja Lage, Rawad Bitar, Antonia Wachter-Zeh
2024	B	`conf`	Achieving DNA Labeling Capacity with Minimum Labels through Extremal de Bruijn Subgraphs. ISIT Christoph Hofmeister, Anina Gruica, Dganit Hanania, Rawad Bitar, Eitan Yaakobi
2024	J	`jnl`	Achieving DNA Labeling Capacity with Minimum Labels through Extremal de Bruijn Subgraphs. CoRR Christoph Hofmeister, Anina Gruica, Dganit Hanania, Rawad Bitar, Eitan Yaakobi
2024	J	`jnl`	Byzantine-Resilient Gradient Coding through Local Gradient Computations. CoRR Christoph Hofmeister, Luis Maßny, Eitan Yaakobi, Rawad Bitar
2024	B	`conf`	Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises. ITW Yue Xia, Christoph Hofmeister, Maximilian Egger, Rawad Bitar
2024	J	`jnl`	Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises. CoRR Yue Xia, Christoph Hofmeister, Maximilian Egger, Rawad Bitar
2024	B	`conf`	Capacity-Maximizing Input Symbol Selection for Discrete Memoryless Channels. ISIT Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
2024	J	`jnl`	Capacity-Maximizing Input Symbol Selection for Discrete Memoryless Channels. CoRR Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
2024	J	`jnl`	Communication-Efficient Byzantine-Resilient Federated Zero-Order Optimization. CoRR Afonso de Sá Delgado Neto, Maximilian Egger, Mayank Bakshi, Rawad Bitar
2024	B	`conf`	Interactive Byzantine-Resilient Gradient Coding for General Data Assignments. ISIT Shreyas Jain, Luis Maßny, Christoph Hofmeister, Eitan Yaakobi, Rawad Bitar
2024	J	`jnl`	Interactive Byzantine-Resilient Gradient Coding for General Data Assignments. CoRR Shreyas Jain, Luis Maßny, Christoph Hofmeister, Eitan Yaakobi, Rawad Bitar
2024	J	`jnl`	LoByITFL: Low Communication Secure and Private Federated Learning. CoRR Yue Xia, Christoph Hofmeister, Maximilian Egger, Rawad Bitar
2024	J	`jnl`	Maximal-Capacity Discrete Memoryless Channel Identification. CoRR Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
2024	B	`conf`	Scalable and Reliable Over-the-Air Federated Edge Learning. GLOBECOM Maximilian Egger, Christoph Hofmeister, Cem Kaya, Rawad Bitar, Antonia Wachter-Zeh
2024	J	`jnl`	Scalable and Reliable Over-the-Air Federated Edge Learning. CoRR Maximilian Egger, Christoph Hofmeister, Cem Kaya, Rawad Bitar, Antonia Wachter-Zeh
2024	B	`conf`	Secure Storage Using Maximally Recoverable Locally Repairable Codes. ISIT Tim Janz, Hedongliang Liu, Rawad Bitar, Frank R. Kschischang
2024	J	`jnl`	Secure Storage using Maximally Recoverable Locally Repairable Codes. CoRR Tim Janz, Hedongliang Liu, Rawad Bitar, Frank R. Kschischang
2024	B	`conf`	Self-Duplicating Random Walks for Resilient Decentralized Learning on Graphs. GLOBECOM Maximilian Egger, Ghadir Ayache, Rawad Bitar, Antonia Wachter-Zeh, Salim El Rouayheb
2024	J	`jnl`	Self-Duplicating Random Walks for Resilient Decentralized Learning on Graphs. CoRR Maximilian Egger, Ghadir Ayache, Rawad Bitar, Antonia Wachter-Zeh, Salim El Rouayheb
2024	J	`jnl`	Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off. IEEE Trans. Inf. Forensics Secur. Rawad Bitar, Maximilian Egger, Antonia Wachter-Zeh, Marvin Xhemrishi
2023	B	`conf`	Fast and Straggler-Tolerant Distributed SGD with Reduced Computation Load. ISIT Maximilian Egger, Serge Kas Hanna, Rawad Bitar
2023	J	`jnl`	Fast and Straggler-Tolerant Distributed SGD with Reduced Computation Load. CoRR Maximilian Egger, Serge Kas Hanna, Rawad Bitar
2023	J	`jnl`	Function-Correcting Codes. IEEE Trans. Inf. Theory Andreas Lenz, Rawad Bitar, Antonia Wachter-Zeh, Eitan Yaakobi
2023	B	`conf`	Maximal-Capacity Discrete Memoryless Channel Identification. ISIT Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
2023	B	`conf`	Private Aggregation in Wireless Federated Learning with Heterogeneous Clusters. ISIT Maximilian Egger, Christoph Hofmeister, Antonia Wachter-Zeh, Rawad Bitar
2023	J	`jnl`	Private Aggregation in Wireless Federated Learning with Heterogeneous Clusters. CoRR Maximilian Egger, Christoph Hofmeister, Antonia Wachter-Zeh, Rawad Bitar
2023	J	`jnl`	Private Inference in Quantized Models. CoRR Zirui Deng, Vinayak Ramkumar, Rawad Bitar, Netanel Raviv
2023	B	`conf`	Sparse and Private Distributed Matrix Multiplication with Straggler Tolerance. ISIT Maximilian Egger, Marvin Xhemrishi, Antonia Wachter-Zeh, Rawad Bitar
2023	J	`jnl`	Sparse and Private Distributed Matrix Multiplication with Straggler Tolerance. CoRR Maximilian Egger, Marvin Xhemrishi, Antonia Wachter-Zeh, Rawad Bitar
2023	J	`jnl`	Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off. CoRR Rawad Bitar, Maximilian Egger, Antonia Wachter-Zeh, Marvin Xhemrishi
2023	B	`conf`	Trading Communication for Computation in Byzantine-Resilient Gradient Coding. ISIT Christoph Hofmeister, Luis Maßny, Eitan Yaakobi, Rawad Bitar
2023	J	`jnl`	Trading Communication for Computation in Byzantine-Resilient Gradient Coding. CoRR Christoph Hofmeister, Luis Maßny, Eitan Yaakobi, Rawad Bitar
2022	J	`jnl`	Adaptive Private Distributed Matrix Multiplication. IEEE Trans. Inf. Theory Rawad Bitar, Marvin Xhemrishi, Antonia Wachter-Zeh
2022	J	`jnl`	Adaptive Stochastic Gradient Descent for Fast and Communication-Efficient Distributed Learning. CoRR Serge Kas Hanna, Rawad Bitar, Parimal Parag, Venkat Dasari, Salim El Rouayheb
2022	B	`conf`	Distributed Matrix-Vector Multiplication with Sparsity and Privacy Guarantees. ISIT Marvin Xhemrishi, Rawad Bitar, Antonia Wachter-Zeh
2022	J	`jnl`	Distributed Matrix-Vector Multiplication with Sparsity and Privacy Guarantees. CoRR Marvin Xhemrishi, Rawad Bitar, Antonia Wachter-Zeh
2022	B	`conf`	Efficient Distributed Machine Learning via Combinatorial Multi-Armed Bandits. ISIT Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz
2022	J	`jnl`	Efficient Distributed Machine Learning via Combinatorial Multi-Armed Bandits. CoRR Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz
2022	B	`conf`	Efficient Private Storage of Sparse Machine Learning Data. ITW Marvin Xhemrishi, Maximilian Egger, Rawad Bitar
2022	J	`jnl`	Efficient Private Storage of Sparse Machine Learning Data. CoRR Marvin Xhemrishi, Maximilian Egger, Rawad Bitar
2022	B	`conf`	Equivalence of Insertion/Deletion Correcting Codes for d-dimensional Arrays. ISIT Evagoras Stylianou, Lorenz Welter, Rawad Bitar, Antonia Wachter-Zeh, Eitan Yaakobi
2022	J	`jnl`	Equivalence of Insertion/Deletion Correcting Codes for d-dimensional Arrays. CoRR Evagoras Stylianou, Lorenz Welter, Rawad Bitar, Antonia Wachter-Zeh, Eitan Yaakobi
2022	B	`conf`	Information Theoretic Private Inference in Quantized Models. ISIT Netanel Raviv, Rawad Bitar, Eitan Yaakobi
2022	J	`jnl`	Multiple Criss-Cross Insertion and Deletion Correcting Codes. IEEE Trans. Inf. Theory Lorenz Welter, Rawad Bitar, Antonia Wachter-Zeh, Eitan Yaakobi
2022	J	`jnl`	Nested Gradient Codes for Straggler Mitigation in Distributed Machine Learning. CoRR Luis Maßny, Christoph Hofmeister, Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh
2022	J	`jnl`	Secure Private and Adaptive Matrix Multiplication Beyond the Singleton Bound. IEEE J. Sel. Areas Inf. Theory Christoph Hofmeister, Rawad Bitar, Marvin Xhemrishi, Antonia Wachter-Zeh
2021	J	`jnl`	Adaptive Private Distributed Matrix Multiplication. CoRR Rawad Bitar, Marvin Xhemrishi, Antonia Wachter-Zeh
2021	J	`jnl`	Criss-Cross Insertion and Deletion Correcting Codes. IEEE Trans. Inf. Theory Rawad Bitar, Lorenz Welter, Ilia Smagloy, Antonia Wachter-Zeh, Eitan Yaakobi
2021	B	`conf`	Detecting Deletions and Insertions in Concatenated Strings with Optimal Redundancy. ISIT Serge Kas Hanna, Rawad Bitar
2021	J	`jnl`	Detecting Deletions and Insertions in Concatenated Strings with Optimal Redundancy. CoRR Serge Kas Hanna, Rawad Bitar
2021	B	`conf`	Function-Correcting Codes. ISIT Andreas Lenz, Rawad Bitar, Antonia Wachter-Zeh, Eitan Yaakobi
2021	J	`jnl`	Function-Correcting Codes. CoRR Andreas Lenz, Rawad Bitar, Antonia Wachter-Zeh, Eitan Yaakobi
2021	B	`conf`	Multiple Criss-Cross Deletion-Correcting Codes. ISIT Lorenz Welter, Rawad Bitar, Antonia Wachter-Zeh, Eitan Yaakobi
2021	J	`jnl`	Multiple Criss-Cross Deletion-Correcting Codes. CoRR Lorenz Welter, Rawad Bitar, Antonia Wachter-Zeh, Eitan Yaakobi
2021	J	`jnl`	Network Coding With Myopic Adversaries. IEEE J. Sel. Areas Inf. Theory Sijie Li, Rawad Bitar, Sidharth Jaggi, Yihan Zhang
2021	B	`conf`	Network Coding with Myopic Adversaries. ISIT Sijie Li, Rawad Bitar, Sidharth Jaggi, Yihan Zhang
2021	J	`jnl`	Network Coding with Myopic Adversaries. CoRR Sijie Li, Rawad Bitar, Sidharth Jaggi, Yihan Zhang
2021	B	`conf`	Optimal Codes Correcting Localized Deletions. ISIT Rawad Bitar, Serge Kas Hanna, Nikita Polyanskii, Ilya Vorobyev
2021	J	`jnl`	Optimal Codes Correcting Localized Deletions. CoRR Rawad Bitar, Serge Kas Hanna, Nikita Polyanskii, Ilya Vorobyev
2021	J	`jnl`	Private and rateless adaptive coded matrix-vector multiplication. EURASIP J. Wirel. Commun. Netw. Rawad Bitar, Yuxuan Xing, Yasaman Keshtkarjahromi, Venkat R. Dasari, Salim El Rouayheb, Hulya Seferoglu
2021	J	`jnl`	Secure Private and Adaptive Matrix Multiplication Beyond the Singleton Bound. CoRR Christoph Hofmeister, Rawad Bitar, Marvin Xhemrishi, Antonia Wachter-Zeh
2020	Misc	`conf`	Adaptive Distributed Stochastic Gradient Descent for Minimizing Delay in the Presence of Stragglers. ICASSP Serge Kas Hanna, Rawad Bitar, Parimal Parag, Venkat Dasari, Salim El Rouayheb
2020	J	`jnl`	Adaptive Distributed Stochastic Gradient Descent for Minimizing Delay in the Presence of Stragglers. CoRR Serge Kas Hanna, Rawad Bitar, Parimal Parag, Venkat Dasari, Salim El Rouayheb
2020	B	`conf`	Communication Efficient Secret Sharing in the Presence of Malicious Adversary. ISIT Rawad Bitar, Sidharth Jaggi
2020	J	`jnl`	Communication Efficient Secret Sharing in the Presence of Malicious Adversary. CoRR Rawad Bitar, Sidharth Jaggi
2020	C	`conf`	Criss-Cross Deletion Correcting Codes. ISITA Rawad Bitar, Ilia Smagloy, Lorenz Welter, Antonia Wachter-Zeh, Eitan Yaakobi
2020	J	`jnl`	Criss-Cross Deletion Correcting Codes. CoRR Rawad Bitar, Ilia Smagloy, Lorenz Welter, Antonia Wachter-Zeh, Eitan Yaakobi
2020	C	`conf`	Fountain Codes for Private Distributed Matrix-Matrix Multiplication. ISITA Rawad Bitar, Marvin Xhemrishi, Antonia Wachter-Zeh
2020	J	`jnl`	Minimizing Latency for Secure Coded Computing Using Secret Sharing via Staircase Codes. IEEE Trans. Commun. Rawad Bitar, Parimal Parag, Salim El Rouayheb
2020	J	`jnl`	Rateless Codes for Private Distributed Matrix-Matrix Multiplication. CoRR Rawad Bitar, Marvin Xhemrishi, Antonia Wachter-Zeh
2020	J	`jnl`	Stochastic Gradient Coding for Straggler Mitigation in Distributed Learning. IEEE J. Sel. Areas Inf. Theory Rawad Bitar, Mary Wootters, Salim El Rouayheb
2019	J	`jnl`	Private and Rateless Adaptive Coded Matrix-Vector Multiplication. CoRR Rawad Bitar, Yuxuan Xing, Yasaman Keshtkarjahromi, Venkat R. Dasari, Salim El Rouayheb, Hulya Seferoglu
2019	B	`conf`	Secure Coded Cooperative Computation at the Heterogeneous Edge against Byzantine Attacks. GLOBECOM Yasaman Keshtkarjahromi, Rawad Bitar, Venkat R. Dasari, Salim El Rouayheb, Hulya Seferoglu
2019	J	`jnl`	Secure Coded Cooperative Computation at the Heterogeneous Edge against Byzantine Attacks. CoRR Yasaman Keshtkarjahromi, Rawad Bitar, Venkat R. Dasari, Salim El Rouayheb, Hulya Seferoglu
2019	B	`conf`	Stochastic Gradient Coding for Flexible Straggler Mitigation in Distributed Learning. ITW Rawad Bitar, Mary Wootters, Salim El Rouayheb
2019	J	`jnl`	Stochastic Gradient Coding for Straggler Mitigation in Distributed Learning. CoRR Rawad Bitar, Mary Wootters, Salim El Rouayheb
2018	J	`jnl`	Minimizing Latency for Secure Coded Computing Using Secret Sharing via Staircase Codes. CoRR Rawad Bitar, Parimal Parag, Salim El Rouayheb
2018	J	`jnl`	Staircase Codes for Secret Sharing With Optimal Communication and Read Overheads. IEEE Trans. Inf. Theory Rawad Bitar, Salim El Rouayheb
2018	B	`conf`	Staircase-PIR: Universally Robust Private Information Retrieval. ITW Rawad Bitar, Salim El Rouayheb
2018	J	`jnl`	Staircase-PIR: Universally Robust Private Information Retrieval. CoRR Rawad Bitar, Salim El Rouayheb
2017	J	`jnl`	Minimizing Latency for Secure Distributed Computing. CoRR Rawad Bitar, Parimal Parag, Salim El Rouayheb
2017	B	`conf`	Minimizing latency for secure distributed computing. ISIT Rawad Bitar, Parimal Parag, Salim El Rouayheb
2016	B	`conf`	Staircase codes for secret sharing with optimal communication and read overheads. ISIT Rawad Bitar, Salim El Rouayheb
2015	J	`jnl`	Securing Data against Limited-Knowledge Adversaries in Distributed Storage Systems. CoRR Rawad Bitar, Salim El Rouayheb
2015	B	`conf`	Securing data against limited-knowledge adversaries in distributed storage systems. ISIT Rawad Bitar, Salim El Rouayheb
2015	J	`jnl`	Staircase Codes for Secret Sharing with Optimal Communication and Read Overheads. CoRR Rawad Bitar, Salim El Rouayheb