Ran Ben-Basat

Orcid: 0000-0003-0196-9190

Affiliations:
  • University College London, UK


According to our database1, Ran Ben-Basat authored at least 82 papers between 2014 and 2024.

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Bibliography

2024
A Generic Framework for Finding Special Quadratic Elements in Data Streams.
IEEE/ACM Trans. Netw., August, 2024

Guest Editorial Introduction to the Special Section on Next-Generation Traffic Measurement With Network-Wide Perspective and Artificial Intelligence.
IEEE Trans. Netw. Sci. Eng., 2024

SQUID: Faster Analytics via Sampled Quantile Estimation.
Proc. ACM Netw., 2024

Optimal and Near-Optimal Adaptive Vector Quantization.
CoRR, 2024

THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Accelerating Federated Learning with Quick Distributed Mean Estimation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DISCO: A Dynamically Configurable Sketch Framework in Skewed Data Streams.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Beyond Throughput and Compression Ratios: Towards High End-to-end Utility of Gradient Compression.
Proceedings of the 23rd ACM Workshop on Hot Topics in Networks, 2024

When ML Training Cuts Through Congestion: Just-in-Time Gradient Compression via Packet Trimming.
Proceedings of the 23rd ACM Workshop on Hot Topics in Networks, 2024

2023
Optimal distributed covering algorithms.
Distributed Comput., March, 2023

Fast In-kernel Traffic Sketching in eBPF.
Comput. Commun. Rev., January, 2023

Together is Better: Heavy Hitters Quantile Estimation.
Proc. ACM Manag. Data, 2023

THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression.
CoRR, 2023

Adaptive Online Cache Capacity Optimization via Lightweight Working Set Size Estimation at Scale.
Proceedings of the 2023 USENIX Annual Technical Conference, 2023

Direct Telemetry Access.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

2022
Memento: Making Sliding Windows Efficient for Heavy Hitters.
IEEE/ACM Trans. Netw., 2022

Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams.
Proc. VLDB Endow., 2022

SQUID: Faster Analytics via Sampled Quantiles Data-structure.
CoRR, 2022

QUIC-FL: Quick Unbiased Compression for Federated Learning.
CoRR, 2022

FRANCIS: Fast Reaction Algorithms for Network Coordination In Switches.
CoRR, 2022

Direct Telemetry Access.
CoRR, 2022

DUET: A Generic Framework for Finding Special Quadratic Elements in Data Streams.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

SQUAD: combining sketching and sampling is better than either for per-item quantile estimation.
Proceedings of the SYSTOR '22: The 15th ACM International Systems and Storage Conference, Haifa, Israel, June 13, 2022

EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning.
Proceedings of the International Conference on Machine Learning, 2022

2021
Routing-Oblivious Network-Wide Measurements.
IEEE/ACM Trans. Netw., 2021

Approximate query processing over static sets and sliding windows.
Theor. Comput. Sci., 2021

Communication-Efficient Federated Learning via Robust Distributed Mean Estimation.
CoRR, 2021

DRIVE: One-bit Distributed Mean Estimation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SALSA: Self-Adjusting Lean Streaming Analytics.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

How to Send a Real Number Using a Single Bit (And Some Shared Randomness).
Proceedings of the 48th International Colloquium on Automata, Languages, and Programming, 2021

Zero-CPU Collection with Direct Telemetry Access.
Proceedings of the HotNets '21: The 20th ACM Workshop on Hot Topics in Networks, 2021

2020
Designing Heavy-Hitter Detection Algorithms for Programmable Switches.
IEEE/ACM Trans. Netw., 2020

Cheetah: Accelerating Database Queries with Switch Pruning.
Proceedings of the 2020 International Conference on Management of Data, 2020

PINT: Probabilistic In-band Network Telemetry.
Proceedings of the SIGCOMM '20: Proceedings of the 2020 Annual conference of the ACM Special Interest Group on Data Communication on the applications, 2020

Cost Effective Troubleshooting of NFV Infrastructure.
Proceedings of the 2020 IFIP Networking Conference, 2020

Routing Oblivious Measurement Analytics.
Proceedings of the 2020 IFIP Networking Conference, 2020

Near Optimal Network-wide Per-Flow Measurement.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Faster and More Accurate Measurement through Additive-Error Counters.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Cooperative Network-wide Flow Selection.
Proceedings of the 28th IEEE International Conference on Network Protocols, 2020

DISCOvering the heavy hitters with disaggregated sketches.
Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020

A faster and more efficient <i>q</i>-MAX algorithm.
Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020

Detecting routing loops in the data plane.
Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020

Learning Software Constraints via Installation Attempts.
Proceedings of the 1st Symposium on Algorithmic Principles of Computer Systems, 2020

2019
Randomized Admission Policy for Efficient Top-k, Frequency, and Volume Estimation.
IEEE/ACM Trans. Netw., 2019

Give me some slack: Efficient network measurements.
Theor. Comput. Sci., 2019

I Know What You Did Last Summer: Network Monitoring using Interval Queries.
Proc. ACM Meas. Anal. Comput. Syst., 2019

Succinct Summing over Sliding Windows.
Algorithmica, 2019

Parameterized Distributed Algorithms.
Proceedings of the 33rd International Symposium on Distributed Computing, 2019

Nitrosketch: robust and general sketch-based monitoring in software switches.
Proceedings of the ACM Special Interest Group on Data Communication, 2019

Attack Time Localization using Interval Queries.
Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 2019

A Black-box Method for Accelerating Measurement Algorithms with Accuracy Guarantees.
Proceedings of the 2019 IFIP Networking Conference, 2019

q-MAX: A Unified Way to Improve Network Measurement Throughput.
Proceedings of the IEEE INFOCOM 2019, 2019

q-MAX: A Unified Scheme for Improving Network Measurement Throughput.
Proceedings of the Internet Measurement Conference, 2019

2018
Big Data Methods for Efficient Network Monitoring.
PhD thesis, 2018

Stream Frequency Over Interval Queries.
Proc. VLDB Endow., 2018

Fast flow volume estimation.
Pervasive Mob. Comput., 2018

Optimal Distributed Weighted Set Cover Approximation.
CoRR, 2018

Heavy Hitters over Interval Queries.
CoRR, 2018

A Deterministic Distributed 2-Approximation for Weighted Vertex Cover in O(log n logΔ/ log<sup>2</sup> logΔ) Rounds.
CoRR, 2018

Space Efficient Elephant Flow Detection.
Proceedings of the 11th ACM International Systems and Storage Conference, 2018

A Deterministic Distributed 2-Approximation for Weighted Vertex Cover in O(\log N\log \varDelta /\log ^2\log \varDelta ) Rounds.
Proceedings of the Structural Information and Communication Complexity, 2018

Volumetric Hierarchical Heavy Hitters.
Proceedings of the 26th IEEE International Symposium on Modeling, 2018

Frequent elements on query defined ranges.
Proceedings of the IEEE INFOCOM 2018, 2018

Line speed heavy hitters on sliding windows.
Proceedings of the IEEE INFOCOM 2018, 2018

Pay for a Sliding Bloom Filter and Get Counting, Distinct Elements, and Entropy for Free.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Efficient Measurement on Programmable Switches Using Probabilistic Recirculation.
Proceedings of the 2018 IEEE 26th International Conference on Network Protocols, 2018

Brief Announcement: Give Me Some Slack: Efficient Network Measurements.
Proceedings of the 45th International Colloquium on Automata, Languages, and Programming, 2018

Network-wide routing-oblivious heavy hitters.
Proceedings of the 2018 Symposium on Architectures for Networking and Communications Systems, 2018

2017
A Game Theoretic Analysis of the Adversarial Retrieval Setting.
J. Artif. Intell. Res., 2017

Efficient Network Measurements through Approximated Windows.
CoRR, 2017

Succinct Approximate Rank Queries.
CoRR, 2017

Counting distinct elements over sliding windows.
Proceedings of the 10th ACM International Systems and Storage Conference, 2017

Constant Time Updates in Hierarchical Heavy Hitters.
Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017

Poster abstract: A sliding counting bloom filter.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

Optimal elephant flow detection.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Randomized admission policy for efficient top-k and frequency estimation.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

2016
The k-distinct language: Parameterized automata constructions.
Theor. Comput. Sci., 2016

The ranking game.
Proceedings of the 19th International Workshop on Web and Databases, 2016

Efficient Summing over Sliding Windows.
Proceedings of the 15th Scandinavian Symposium and Workshops on Algorithm Theory, 2016

Heavy hitters in streams and sliding windows.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

2015
The Probability Ranking Principle is Not Optimal in Adversarial Retrieval Settings.
Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015

2014
Relations between automata and the simple k-path problem.
CoRR, 2014


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