Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:48:59.205866Z
Paper Citation Record · LEDGER
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks
As of 18 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2508.20645.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
58 of 58 outbound references displayed
- verified exact0
- verified fuzzy54
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 54b2cb3a-cb2a-4a33-a1c2-a73a89e53c30 · outbound
This paper cites Distributed stochastic optimization with gradient track- ing over time- varying directed networks.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Distributed stochastic optimization with gradient track- ing over time- varying directed networks
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:49:00.245241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2e734516-252f-463c-9970-7498be6c0707 · outbound
This paper cites Decentralized online convex optimization with compressed communications.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Decentralized online convex optimization with compressed communications
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:49:00.229326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 91c4611f-6242-470c-9845-6aafe3100215 · outbound
This paper cites Vincent Poor.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Vincent Poor
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:49:00.213486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f6de7c46-e868-4c48-8290-511e5db7f4a6 · outbound
This paper cites Gtadam: Gradient tracking with adap- tive momentum for distributed online optimization.IEEE Trans- actions on Control of Network Systems , 10(3):1436–1448, 2022.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Gtadam: Gradient tracking with adap- tive momentum for distributed online optimization.IEEE Trans- actions on Control of Network Systems , 10(3):1436–1448, 2022
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:49:00.195913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 020c4a7f-6c06-41d1-ae16-2614d948484c · outbound
This paper cites Diffusion lms strategies for distributed estimation.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Diffusion lms strategies for distributed estimation
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:49:00.179633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5290b113-3ecf-4761-b96f-c6eabe2a9c99 · outbound
This paper cites Accelerated distributed stochastic nonconvex optimization over time-varying directed networks.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Accelerated distributed stochastic nonconvex optimization over time-varying directed networks
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:49:00.161799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7d11325a-8caf-4228-a7f8-f4ca164aa0ac · outbound
This paper cites Local differential privacy for decentralized online stochastic optimization with guaranteed op- timality and convergence speed.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Local differential privacy for decentralized online stochastic optimization with guaranteed op- timality and convergence speed
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:49:00.144962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c3255cdb-b484-4a53-a6f2-44403256334b · outbound
This paper cites Optimization and learning with information streams: Time-varying algorithms and applications.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Optimization and learning with information streams: Time-varying algorithms and applications
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:49:00.127039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a8e908d8-2fb0-4e39-b3af-96451bda0f69 · outbound
This paper cites Saga: A fast incremental gradient method with support for non-strongly convex composite objectives.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Saga: A fast incremental gradient method with support for non-strongly convex composite objectives
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:49:00.109940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b5a556d1-222c-4a47-a381-462520124a0e · outbound
This paper cites Improving dynamic regret in distributed online mirror descent using primal and dual informa- tion.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Improving dynamic regret in distributed online mirror descent using primal and dual informa- tion
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:49:00.093389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 08014378-9a57-4185-a71a-9cbb4823e3af · outbound
This paper cites Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:49:00.077226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5d9acfe0-19b9-4bd1-926b-a1a2c72adf8a · outbound
This paper cites Introduction to online convex optimiza- tion.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Introduction to online convex optimiza- tion
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:49:00.060399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c3d47067-4a0c-4ea1-84db-1a5384bedafe · outbound
This paper cites Matrix analysis.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Matrix analysis
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:49:00.043921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 137f9b93-4e0d-4a09-a876-6fd81d3145b7 · outbound
This paper cites On- line distributed optimization via dual averaging.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks On- line distributed optimization via dual averaging
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:49:00.027596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d33f5a9f-509c-49e5-8398-7bfe9ebdd718 · outbound
This paper cites Faster adaptive decentralized learning algorithms.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Faster adaptive decentralized learning algorithms
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:49:00.008555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 83a1be4f-0b3c-4781-ae98-86ca9c93b1d7 · outbound
This paper cites Accelerating stochastic gradient descent using predictive variance reduction.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Accelerating stochastic gradient descent using predictive variance reduction
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.990038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6f11ace5-fe39-43f9-8c40-7bc51abc806e · outbound
This paper cites Stochastic dual averaging for decentralized online optimization on time- varying communication graphs.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Stochastic dual averaging for decentralized online optimization on time- varying communication graphs
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.972528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 57ae7a8a-daef-4f45-9ac4-22d34e911add · outbound
This paper cites Coordinate dual averaging for decentralized online optimization with non- separable global objectives.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Coordinate dual averaging for decentralized online optimization with non- separable global objectives
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.955905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b18b7d83-72ce-4132-9fe8-49fb87032956 · outbound
This paper cites Distributed Optimization: Advances in Theo- ries, Methods, and Applications.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Distributed Optimization: Advances in Theo- ries, Methods, and Applications
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.938669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 60873a51-0943-49bf-9e45-c3d7c4763172 · outbound
This paper cites Npga: A unified algorithmic framework for decentralized constraint-coupled optimization.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Npga: A unified algorithmic framework for decentralized constraint-coupled optimization
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.922339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c553ce01-8536-432f-93fd-224180427d63 · outbound
This paper cites Online distributed stochastic gradient algorithm for nonconvex opti- mization with compressed communication.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Online distributed stochastic gradient algorithm for nonconvex opti- mization with compressed communication
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.905954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 99c7f9f1-79b6-488b-b35d-9c4d265908b7 · outbound
This paper cites A survey of decentralized online learning.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks A survey of decentralized online learning
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.887664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2562d4af-33a7-4048-b683-91457b45532a · outbound
This paper cites Distributed online convex optimization with an aggregative variable.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Distributed online convex optimization with an aggregative variable
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.869565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 993f855c-fa13-4a40-aa00-26eb7fe7ba23 · outbound
This paper cites Online optimization with predictions and switching costs: Fast algorithms and the fundamental limit.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Online optimization with predictions and switching costs: Fast algorithms and the fundamental limit
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.851437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bb3e89e9-98f8-449b-9a95-bcde8341f1c1 · outbound
This paper cites Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.834909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2245ac16-577c-4aeb-aeee-1cc3bfe2681e · outbound
This paper cites A compressed gradient tracking method for decentralized optimization with linear convergence.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks A compressed gradient tracking method for decentralized optimization with linear convergence
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.818611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ce89afc4-b519-4988-bb50-28fe55b331dd · outbound
This paper cites An Optimal Hybrid Variance-Reduced Algorithm for Stochastic Composite Nonconvex Optimization.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks An Optimal Hybrid Variance-Reduced Algorithm for Stochastic Composite Nonconvex Optimization
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:48:59.045960Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8249740e-6e79-4dfa-b31f-808d982e290d · outbound
This paper cites Decentralized federated learning: Balancing communication and computing costs.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Decentralized federated learning: Balancing communication and computing costs
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.802630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3795cd28-726f-494b-94eb-a5c544df70e9 · outbound
This paper cites Online dictionary learning for sparse coding.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Online dictionary learning for sparse coding
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.786028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 01c11c3a-cb51-42e2-9b06-0561abe34eca · outbound
This paper cites Online optimization in dynamic environments: Improved regret rates for strongly convex problems.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Online optimization in dynamic environments: Improved regret rates for strongly convex problems
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.769060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4169bc34-5121-422f-be1c-c4fabd2b37ba · outbound
This paper cites Dadam: A consensus-based distributed adaptive gradient method for online optimization.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Dadam: A consensus-based distributed adaptive gradient method for online optimization
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.751784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2fe3f933-fb90-4b03-9f92-dd6c49ba5f4e · outbound
This paper cites AB/Push-Pull method for distributed optimization in time-varying directed networks.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks AB/Push-Pull method for distributed optimization in time-varying directed networks
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.735738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 055aa992-9659-4321-a077-dc61b60a317e · outbound
This paper cites Fast conver- gence rates for distributed non-bayesian learning.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Fast conver- gence rates for distributed non-bayesian learning
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.720337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7d43356a-9544-4642-9128-b6a4ef94922c · outbound
This paper cites Distributed stochastic optimization with gradient track- ing over time-varying directed networks.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Distributed stochastic optimization with gradient track- ing over time-varying directed networks
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.703501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f8ea151a-75f1-462a-8a7d-cf695d00a14b · outbound
This paper cites Accelerated AB/Push–Pull methods for distributed op- timization over time-varying directed networks.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Accelerated AB/Push–Pull methods for distributed op- timization over time-varying directed networks
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.686855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 37011b80-0b0a-43a7-aafd-3891953900ab · outbound
This paper cites Distributed Nash equilibrium seeking over time-varying directed communication networks.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Distributed Nash equilibrium seeking over time-varying directed communication networks
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.669806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4ad01560-e4ca-499e-ba22-75c728abedd6 · outbound
This paper cites Nguyen, Jie Liu, Katya Scheinberg, and Martin Tak´ aˇ c.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Nguyen, Jie Liu, Katya Scheinberg, and Martin Tak´ aˇ c
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.653068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a4f758a6-a1f6-4c24-b5eb-622a76a19529 · outbound
This paper cites Distributed personalized gradient track- ing with convex parametric models.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Distributed personalized gradient track- ing with convex parametric models
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.636055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cc9ce92b-5b03-40c3-abbd-68fb8a85e350 · outbound
This paper cites Distributed stochastic gradient track- ing methods.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Distributed stochastic gradient track- ing methods
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.617844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 956d73c9-fe3a-484b-bdd8-355ffaab2d23 · outbound
This paper cites Push–pull gradient methods for distributed optimization in networks.IEEE Transactions on Automatic Control , 66(1):1–16, 2021.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Push–pull gradient methods for distributed optimization in networks.IEEE Transactions on Automatic Control , 66(1):1–16, 2021
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.600891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 563f9660-444e-4946-ab57-34670328d286 · outbound
This paper cites Harnessing smoothness to accelerate distributed optimization.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Harnessing smoothness to accelerate distributed optimization
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.583260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0d49df60-f2f0-4a13-9a56-1c0cdbd852f8 · outbound
This paper cites an unresolved cited work.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T16:48:59.565357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation be736711-1881-4f98-8a18-4a011447e9bb · outbound
This paper cites An online optimiza- tion approach for multi-agent tracking of dynamic parameters in the presence of adversarial noise.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks An online optimiza- tion approach for multi-agent tracking of dynamic parameters in the presence of adversarial noise
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.548064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3e39588f-bfbf-4541-8233-448f951dd03e · outbound
This paper cites Distributed online op- timization in dynamic environments using mirror descent.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Distributed online op- timization in dynamic environments using mirror descent
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.530610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 34ec1020-4090-471c-95f4-f33f08fb08b4 · outbound
This paper cites Distributed detection: Finite-time analysis and impact of net- work topology.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Distributed detection: Finite-time analysis and impact of net- work topology
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.513238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 024610e1-e96b-4976-9257-38eb19c8677a · outbound
This paper cites Online learning and online convex optimization.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Online learning and online convex optimization
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.494437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5c4d8a91-45de-4dfa-9b1e-84c4b4c89d63 · outbound
This paper cites Optimized gradient tracking for decentralized online learning.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Optimized gradient tracking for decentralized online learning
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.476063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7f57665f-8a64-4d5d-b775-2bffc267da97 · outbound
This paper cites an unresolved cited work.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T16:48:59.458502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation af53a264-2cf2-4d19-980f-bcb49f2e5a26 · outbound
This paper cites Distributed weakly convex optimization under random time-delay interfer- ence.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Distributed weakly convex optimization under random time-delay interfer- ence
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.441263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 188f8d59-e836-431d-a3f2-a59effc67bb9 · outbound
This paper cites A hybrid variance- reduced method for decentralized stochastic non-convex opti- mization.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks A hybrid variance- reduced method for decentralized stochastic non-convex opti- mization
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.422984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1649b4b0-b0c3-4d23-b68a-9ec70cac37a8 · outbound
This paper cites Khan, and Soummya Kar.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Khan, and Soummya Kar
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.405489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7e29f90c-9c6b-488c-87e7-1f9c88d61bef · outbound
This paper cites an unresolved cited work.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T16:48:59.387683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bc3f0569-a7e5-4e55-be3b-86aa51f3bc6e · outbound
This paper cites Distributed autonomous online learning: Regrets and intrinsic privacy-preserving properties.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Distributed autonomous online learning: Regrets and intrinsic privacy-preserving properties
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.368690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d9aae1a5-88ab-408a-a7ac-3f84c6c23b9f · outbound
This paper cites Online distributed opti- mization algorithm with dynamic regret analysis under unbal- anced graphs.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Online distributed opti- mization algorithm with dynamic regret analysis under unbal- anced graphs
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.347746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9a4d21b4-a628-4f37-8919-b227fcbe8686 · outbound
This paper cites An adap- tive primal-dual subgradient algorithm for online distributed constrained optimization.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks An adap- tive primal-dual subgradient algorithm for online distributed constrained optimization
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.328701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c8b81264-c88b-4217-b301-cfe122d57261 · outbound
This paper cites Distributed adaptive subgradi- ent algorithms for online learning over time-varying networks.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Distributed adaptive subgradi- ent algorithms for online learning over time-varying networks
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.306000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ab1483d5-6585-4b79-8c3d-5e5cfd806701 · outbound
This paper cites Ravier, Michael M.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Ravier, Michael M
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.287409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a9bebaf1-647c-4e8e-9989-1dbc9c7da077 · outbound
This paper cites Online convex programming and generalized infinitesimal gradient ascent.
A Hybrid Stochastic Gradient Tracking Method for Distributed Online Optimization Over Time-Varying Directed Networks Online convex programming and generalized infinitesimal gradient ascent
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T16:48:59.268380Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.