Federated Linear Dueling Bandits | Paper Citation Record

Observation 8baff0c3-8185-4792-b40f-9b0d1de00e33 · outbound

This paper cites Optimal algorithms for stochastic contextual preference bandits.

Federated Linear Dueling Bandits Optimal algorithms for stochastic contextual preference bandits

Reference 1

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Observation 3bebda6d-90fb-4257-a91a-d6cf75c25485 · outbound

This paper cites Efficient and optimal algorithms for contextual dueling bandits under realizability.

Federated Linear Dueling Bandits Efficient and optimal algorithms for contextual dueling bandits under realizability

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.897169Z

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Observation d75260f5-2575-48a0-8f89-222f2fb9e1bf · outbound

This paper cites Stochastic contextual dueling bandits under linear stochastic transitivity models.

Federated Linear Dueling Bandits Stochastic contextual dueling bandits under linear stochastic transitivity models

Reference 3

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Observation 1a3ab303-805a-49a3-8ebe-68538b781830 · outbound

This paper cites Feel-Good Thompson Sampling for Contextual Dueling Bandits.

Federated Linear Dueling Bandits Feel-Good Thompson Sampling for Contextual Dueling Bandits

Reference 4

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Observation 3b07175e-b766-4347-aa90-506bd889767d · outbound

This paper cites The k-armed dueling bandits problem.

Federated Linear Dueling Bandits The k-armed dueling bandits problem

Reference 5

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Observation 5575a231-c644-4859-81b7-f862f73dcddb · outbound

This paper cites Prompt Optimization with Human Feedback.

Federated Linear Dueling Bandits Prompt Optimization with Human Feedback

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.641818Z

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Observation ab14e6a3-2ddf-46d5-9cb7-a967ae82c36b · outbound

This paper cites Reinforcement Learning from Human Feedback with Active Queries.

Federated Linear Dueling Bandits Reinforcement Learning from Human Feedback with Active Queries

Reference 7

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Observation e4bc756e-ba46-41be-9d2b-2e0160a79577 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Federated Linear Dueling Bandits Communication-efficient learning of deep networks from decentralized data

Reference 8

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Observation 12f28940-b916-44ef-b656-67376b6a7aee · outbound

This paper cites Federated multi-armed bandits.

Federated Linear Dueling Bandits Federated multi-armed bandits

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.849567Z

Source-reported events for the cited work

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Observation bf073c3e-90b8-4014-b01c-3b99707dfda5 · outbound

This paper cites Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication.

Federated Linear Dueling Bandits Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.661296Z

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Observation eb509b7e-9c92-451e-b907-67c7d12772bc · outbound

This paper cites Improved algorithms for linear stochastic bandits.

Federated Linear Dueling Bandits Improved algorithms for linear stochastic bandits

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.832242Z

Source-reported events for the cited work

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Observation a37e7c12-74da-4b97-af1f-d3df046fa9cf · outbound

This paper cites Federated Neural Bandits.

Federated Linear Dueling Bandits Federated Neural Bandits

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.671155Z

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Observation 0310b92a-cbeb-4838-a834-3520d5fab35a · outbound

This paper cites Mm algorithms for generalized bradley-terry models.

Federated Linear Dueling Bandits Mm algorithms for generalized bradley-terry models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.815497Z

Source-reported events for the cited work

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Observation e49915c5-2aee-4af4-b4f2-9cd4d84d9d04 · outbound

This paper cites Individual choice behavior: A theoretical analysis.

Federated Linear Dueling Bandits Individual choice behavior: A theoretical analysis

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.680517Z

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Observation 2845876f-e9c2-484c-a9df-301063935b69 · outbound

This paper cites Provably optimal algorithms for generalized linear contextual bandits.

Federated Linear Dueling Bandits Provably optimal algorithms for generalized linear contextual bandits

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.786813Z

Source-reported events for the cited work

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Observation 203ed17a-5354-448d-b028-4f27e3f4e7b3 · outbound

This paper cites An efficient algorithm for generalized linear bandit: Online stochastic gradient descent and thompson sampling, 2021.

Federated Linear Dueling Bandits An efficient algorithm for generalized linear bandit: Online stochastic gradient descent and thompson sampling, 2021

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.770150Z

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Observation 4cc51e8f-a1a7-4e87-bef8-21cdbf0697d3 · outbound

This paper cites Provably optimal algorithms for generalized linear contextual bandits, 2017.

Federated Linear Dueling Bandits Provably optimal algorithms for generalized linear contextual bandits, 2017

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.753389Z

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Observation d2293822-a0c7-4d09-9814-3a3bda41aefe · outbound

This paper cites Stochastic linear contextual bandits with diverse contexts, 2020.

Federated Linear Dueling Bandits Stochastic linear contextual bandits with diverse contexts, 2020

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.737455Z

Source-reported events for the cited work

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Observation fa62f73f-e28b-4453-868b-a00a57ad32c4 · outbound

This paper cites Introduction to online convex optimization.

Federated Linear Dueling Bandits Introduction to online convex optimization

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.721883Z

Source-reported events for the cited work

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Observation 7d3dfd4e-b101-4311-9589-443baa777f08 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library, 2019.

Federated Linear Dueling Bandits Pytorch: An imperative style, high-performance deep learning library, 2019

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.707777Z

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Observation 756803f1-11b3-4c55-ae04-ef25ca6f4918 · outbound

This paper cites Maxwell Harper and Joseph A.

Federated Linear Dueling Bandits Maxwell Harper and Joseph A

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.712114Z

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Observation 5d7b1568-ad13-4da8-b31e-ef0a7bf7a1d2 · outbound

This paper cites an unresolved cited work.

Federated Linear Dueling Bandits Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-09T16:44:31.686721Z

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Observation fe88f476-888f-493d-a311-a81604922466 · outbound

This paper cites Privacy-preserving communication-efficient federated multi-armed bandits.

Federated Linear Dueling Bandits Privacy-preserving communication-efficient federated multi-armed bandits

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.670852Z

Source-reported events for the cited work

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Observation 137dba6f-0446-4302-b75a-f1dfe2f3fe42 · outbound

This paper cites Federated optimization in heterogeneous networks.

Federated Linear Dueling Bandits Federated optimization in heterogeneous networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.725502Z

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Observation 5ea97f94-893a-4f55-aea1-f67de1cc8a14 · outbound

This paper cites Federated multi-armed bandits with personalization.

Federated Linear Dueling Bandits Federated multi-armed bandits with personalization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.645038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ad9a625a-0543-445e-9091-1386454c9288 · outbound

This paper cites Differentially-private federated linear bandits.

Federated Linear Dueling Bandits Differentially-private federated linear bandits

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.629428Z

Source-reported events for the cited work

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Observation 037818ac-9dce-4500-ad4e-15ede831960d · outbound

This paper cites Federated linear contextual bandits.

Federated Linear Dueling Bandits Federated linear contextual bandits

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.614002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f8151a64-6b8f-495a-8ec6-abd0aa5eea52 · outbound

This paper cites Asynchronous upper confidence bound algorithms for federated linear bandits.

Federated Linear Dueling Bandits Asynchronous upper confidence bound algorithms for federated linear bandits

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.598607Z

Source-reported events for the cited work

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Observation 8fd4fba9-1b89-4e2c-b8a4-09e17687802a · outbound

This paper cites Federated bayesian optimization via thompson sampling.

Federated Linear Dueling Bandits Federated bayesian optimization via thompson sampling

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.582316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 40a885bf-83d7-4785-9664-8a7c2101f993 · outbound

This paper cites Differentially private federated Bayesian optimization with distributed exploration.

Federated Linear Dueling Bandits Differentially private federated Bayesian optimization with distributed exploration

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.566125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 46a4ad3a-02be-4670-81c3-761d9ae43fde · outbound

This paper cites Communication effi- cient distributed learning for kernelized contextual bandits.

Federated Linear Dueling Bandits Communication effi- cient distributed learning for kernelized contextual bandits

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.549317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 07ece397-7cc1-462a-83df-8672ace8cbac · outbound

This paper cites Communication efficient federated learning for generalized linear bandits.

Federated Linear Dueling Bandits Communication efficient federated learning for generalized linear bandits

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.532365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5d057f58-ba55-4a41-a522-e01b140f6fd7 · outbound

This paper cites Federated bandit: A gossiping approach.

Federated Linear Dueling Bandits Federated bandit: A gossiping approach

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.515346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9aaeca58-a1a0-4ca1-a301-41d65631143d · outbound

This paper cites SAMBA: A generic framework for secure federated multi-armed bandits.

Federated Linear Dueling Bandits SAMBA: A generic framework for secure federated multi-armed bandits

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.492819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 10a13646-7ce7-45bb-9fd4-b9f1c9a87b7e · outbound

This paper cites Federated linear contextual bandits with heterogeneous clients.

Federated Linear Dueling Bandits Federated linear contextual bandits with heterogeneous clients

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.473799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9556b793-7ff9-4703-b0ed-8e8008e9a8b6 · outbound

This paper cites Federated linear bandits with finite adversarial actions.

Federated Linear Dueling Bandits Federated linear bandits with finite adversarial actions

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.457066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4566ef4e-0d80-4e85-81b5-22b0185f0df1 · outbound

This paper cites Federated contextual cascading bandits with asynchronous communication and heterogeneous users.

Federated Linear Dueling Bandits Federated contextual cascading bandits with asynchronous communication and heterogeneous users

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.439487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation af91d08a-1c93-47d1-86cc-8259d2ff5e3b · outbound

This paper cites Fairness and Privacy Guarantees in Federated Contextual Bandits.

Federated Linear Dueling Bandits Fairness and Privacy Guarantees in Federated Contextual Bandits

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-09T16:44:31.071904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2cc90a37-5548-4637-9927-d69f55128f8d · outbound

This paper cites Federated Combinatorial Multi-Agent Multi-Armed Bandits.

Federated Linear Dueling Bandits Federated Combinatorial Multi-Agent Multi-Armed Bandits

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-09T16:44:31.050027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6ea0dfaf-1418-4fed-b304-8222d5f60973 · outbound

This paper cites Towards fair and scalable trial assignment in federated bandits: A shapley value approach.

Federated Linear Dueling Bandits Towards fair and scalable trial assignment in federated bandits: A shapley value approach

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.423349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d9541d69-0786-4852-ae4f-35c37eef8b1f · outbound

This paper cites Federated x-armed bandit.

Federated Linear Dueling Bandits Federated x-armed bandit

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.408471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e732fe57-d09b-40c3-a686-3e8656613f65 · outbound

This paper cites Incentivized Truthful Communication for Federated Bandits.

Federated Linear Dueling Bandits Incentivized Truthful Communication for Federated Bandits

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-09T16:44:31.027949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b5f2eac5-0e83-4829-9616-361bac5ee90c · outbound

This paper cites FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients.

Federated Linear Dueling Bandits FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-09T16:44:31.003701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation eecb8cca-7f28-4fe7-94bf-370a212e9ba0 · outbound

This paper cites Interactively optimizing information retrieval systems as a dueling bandits problem.

Federated Linear Dueling Bandits Interactively optimizing information retrieval systems as a dueling bandits problem

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.816185Z

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Observation e3b175f6-5e8c-44f0-aeb4-6cc4350f8332 · outbound

This paper cites Beat the mean bandit.

Federated Linear Dueling Bandits Beat the mean bandit

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.820535Z

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Unavailable: canonical work link unavailable.

Observation 6d2d1f2b-4163-44c7-b1f9-adc4ec8d8802 · outbound

This paper cites Relative confidence sampling for efficient on-line ranker evaluation.

Federated Linear Dueling Bandits Relative confidence sampling for efficient on-line ranker evaluation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.824772Z

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Observation 1d79a626-a366-47ee-b04e-734a2ad701c4 · outbound

This paper cites Reducing dueling bandits to cardinal bandits.

Federated Linear Dueling Bandits Reducing dueling bandits to cardinal bandits

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.829111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcbc22ca-1626-4a67-be05-4be0a2cca0c5 · outbound

This paper cites Relative upper confidence bound for the k-armed dueling bandit problem.

Federated Linear Dueling Bandits Relative upper confidence bound for the k-armed dueling bandit problem

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.833450Z

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Unavailable: canonical work link unavailable.

Observation cb187285-c91b-4f8a-8337-5f9cd8ad9ac3 · outbound

This paper cites Regret lower bound and optimal algorithm in dueling bandit problem.

Federated Linear Dueling Bandits Regret lower bound and optimal algorithm in dueling bandit problem

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.837941Z

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Observation 38715afa-2eb5-4933-a09f-3adbd91a7305 · outbound

This paper cites A relative exponential weighing algorithm for adversarial utility-based dueling bandits.

Federated Linear Dueling Bandits A relative exponential weighing algorithm for adversarial utility-based dueling bandits

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.842427Z

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This paper cites Battle of bandits.

Federated Linear Dueling Bandits Battle of bandits

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.322326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 676e1c18-ce3d-4a36-9965-b3ceef27645d · outbound

This paper cites Active ranking with subset-wise preferences.

Federated Linear Dueling Bandits Active ranking with subset-wise preferences

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.306195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 83090f54-acb6-45c3-a71e-ecc3535b7518 · outbound

This paper cites Pac battling bandits in the plackett-luce model.

Federated Linear Dueling Bandits Pac battling bandits in the plackett-luce model

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.290771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3d6b0f70-e7bc-4286-b072-c9b6ac55ab54 · outbound

This paper cites Exploiting correlation to achieve faster learning rates in low-rank preference bandits.

Federated Linear Dueling Bandits Exploiting correlation to achieve faster learning rates in low-rank preference bandits

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.274824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fe7a3489-0b84-40e2-8756-261e2b1f949a · outbound

This paper cites Principled reinforcement learning with human feedback from pairwise or k-wise comparisons.

Federated Linear Dueling Bandits Principled reinforcement learning with human feedback from pairwise or k-wise comparisons

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.865345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b875cee5-1ded-443d-b9dd-af7bc89125d3 · outbound

This paper cites Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits.

Federated Linear Dueling Bandits Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.869961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61960fac-8467-445a-a0f6-c5e3c7642e02 · outbound

This paper cites Neural Dueling Bandits: Preference-Based Optimization with Human Feedback.

Federated Linear Dueling Bandits Neural Dueling Bandits: Preference-Based Optimization with Human Feedback

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.874716Z

Source-reported events for the cited work

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Observation 9601bc57-69b4-4912-8341-c336e83b416d · outbound

This paper cites Clustering of conversational ban- dits for user preference learning and elicitation.

Federated Linear Dueling Bandits Clustering of conversational ban- dits for user preference learning and elicitation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.246466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3d3a56b7-f7c2-4f83-8005-655014e5e597 · outbound

This paper cites Cascading Bandits for Large-Scale Recommendation Problems.

Federated Linear Dueling Bandits Cascading Bandits for Large-Scale Recommendation Problems

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:30.884461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ead6b72b-49ec-4bc9-8366-1e1531efe1a8 · outbound

This paper cites Introduction to online convex optimization, 2023.

Federated Linear Dueling Bandits Introduction to online convex optimization, 2023

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.229983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f8a431c4-d7be-4496-9bf6-a7c8610b9bcf · outbound

This paper cites Then we have that Mt ≥ κµVt and that V −1 t ≥ κµM −1 t.

Federated Linear Dueling Bandits Then we have that Mt ≥ κµVt and that V −1 t ≥ κµM −1 t

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.214786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e3a1b274-082c-4e22-b813-a39eb57ba768 · outbound

This paper cites bad iterations.

Federated Linear Dueling Bandits bad iterations

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.199379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6bf6128f-aa00-4fa7-a12c-b0c9d9834080 · outbound

This paper cites an unresolved cited work.

Federated Linear Dueling Bandits Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-09T16:44:31.183744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 59dfaf9a-feec-47c4-9f4c-cf472ec63abd · outbound

This paper cites (33) Summing over s, we have that tX s=1 f fed s (eθt) ≥ tX s=1 f fed s (θt) +   tX s=1 ∇f fed s (θt)⊤   eθt − θt + αt 2 ∥eθt − θt∥2.

Federated Linear Dueling Bandits (33) Summing over s, we have that tX s=1 f fed s (eθt) ≥ tX s=1 f fed s (θt) +   tX s=1 ∇f fed s (θt)⊤   eθt − θt + αt 2 ∥eθt − θt∥2

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:44:31.168499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers