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Paper Citation Record · LEDGER

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm

As of 15 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2602.14830.

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pith.paper-citation-record.v1
2602.14830 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:10:42.955196Z

measured 32 of 32 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

32 of 32 outbound references displayed

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Outbound references

Observation cfe99652-bdd0-4760-a871-81f5d35aed4a · outbound

This paper cites Decentralized federated learning: A survey and perspective,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Decentralized federated learning: A survey and perspective,

Reference 1

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Observation 4c114e25-0b11-4de4-89e7-faa8acc55d0c · outbound

This paper cites A survey on secure decentralized optimization and learning.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm A survey on secure decentralized optimization and learning

Reference 2

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Observation cd7da0b3-f9dd-4461-81bd-5ea39d5be47f · outbound

This paper cites A survey of distributed optimization,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm A survey of distributed optimization,

Reference 3

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Observation d664f511-f3e8-489d-827e-c7600f47b3a5 · outbound

This paper cites Distributed optimization for control,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Distributed optimization for control,

Reference 4

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Observation a9132704-58bf-4a0d-93b9-fa2b7f7024e0 · outbound

This paper cites Distributed gradient methods for convex machine learning problems in networks: Distributed Optimization,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Distributed gradient methods for convex machine learning problems in networks: Distributed Optimization,

Reference 5

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Observation f535c296-65ec-4033-91f4-0130079fa2cc · outbound

This paper cites Harnessing smoothness to accelerate distributed optimization,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Harnessing smoothness to accelerate distributed optimization,

Reference 6

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Observation 0b39408a-fed8-40f6-972d-060ec9f8ab5b · outbound

This paper cites Linear convergence in optimization over directed graphs with row-stochastic matrices,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Linear convergence in optimization over directed graphs with row-stochastic matrices,

Reference 7

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Observation 4ab9d1de-ea55-4709-8a44-cbe651772588 · outbound

This paper cites DONE: distributed approximate Newton-type method for federated edge learning,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm DONE: distributed approximate Newton-type method for federated edge learning,

Reference 8

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Observation ef5f0fd3-6251-4ff1-ba79-0962679f3e74 · outbound

This paper cites On analog distributed approximate Newton with determinantal averaging,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm On analog distributed approximate Newton with determinantal averaging,

Reference 9

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Observation 5de0fb82-edbe-4d2d-8ad5-a7f88030a8f0 · outbound

This paper cites FedNL: Making Newton-type methods applicable to federated learning,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm FedNL: Making Newton-type methods applicable to federated learning,

Reference 10

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Observation 903d3a51-ceb5-4b4d-bcda-cfba25705e31 · outbound

This paper cites FAGH: Accelerating federated learning with approximated global hessian,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm FAGH: Accelerating federated learning with approximated global hessian,

Reference 11

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Observation 4e464294-4b5f-4242-acf5-33606da209b9 · outbound

This paper cites Network Newton distributed optimization methods,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Network Newton distributed optimization methods,

Reference 12

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Observation b52b8366-82c9-4790-8ea6-798055c73bf8 · outbound

This paper cites Newton-like method with diagonal correction for distributed optimization,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Newton-like method with diagonal correction for distributed optimization,

Reference 13

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Observation 8c86b3f5-3dcb-43f3-b0a1-a03f144853f4 · outbound

This paper cites Multiagent Newton–Raphson optimization over lossy networks,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Multiagent Newton–Raphson optimization over lossy networks,

Reference 14

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Observation 29365df5-ea72-4a1b-8f14-43813fc2c887 · outbound

This paper cites A Newton tracking algorithm with exact linear convergence for decentralized consensus optimization,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm A Newton tracking algorithm with exact linear convergence for decentralized consensus optimization,

Reference 15

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Observation dc14242e-ca58-45b9-9d62-34ed341d9c6e · outbound

This paper cites Accelerated distributed approximate Newton method,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Accelerated distributed approximate Newton method,

Reference 16

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Observation 16de0919-ca50-43b9-89d2-63cfa70c094e · outbound

This paper cites Communication-efficient dis- tributed optimization using an approximate Newton-type method,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Communication-efficient dis- tributed optimization using an approximate Newton-type method,

Reference 17

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Observation 863b141d-48b6-4ac8-94f1-85f2e334b4d4 · outbound

This paper cites Distributed second-order method with diffusion strategy,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Distributed second-order method with diffusion strategy,

Reference 18

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Observation a80b00a0-c36d-4fc5-a433-f08ac0cd3530 · outbound

This paper cites Fully-distributed optimization with Network Exact Consensus-GIANT,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Fully-distributed optimization with Network Exact Consensus-GIANT,

Reference 19

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Observation 7a184b98-6b9b-47a3-a5e5-7cb247e42363 · outbound

This paper cites Distributed adaptive Newton methods with global superlinear convergence,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Distributed adaptive Newton methods with global superlinear convergence,

Reference 20

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Observation b3ab4f7f-1ee3-4baa-a1f5-c6927be02857 · outbound

This paper cites Network-GIANT: Fully distributed Newton-type optimization via harmonic hessian con- sensus,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Network-GIANT: Fully distributed Newton-type optimization via harmonic hessian con- sensus,

Reference 21

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Observation 645b5b66-f2b8-4522-b188-eba5a7bd2a6f · outbound

This paper cites GIANT: Globally improved approximate Newton method for distributed optimization,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm GIANT: Globally improved approximate Newton method for distributed optimization,

Reference 22

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Observation 48f86f82-51cd-4598-a98d-5ce652321f56 · outbound

This paper cites Second-order stochastic optimization for machine learning in linear time,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Second-order stochastic optimization for machine learning in linear time,

Reference 24

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Observation 88742de7-fe26-4a99-9283-7091d4d83500 · outbound

This paper cites Boyd and L.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Boyd and L

Reference 25

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Observation 231792ae-ec35-4227-819c-5093e3d90985 · outbound

This paper cites Introduction to Optimization,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Introduction to Optimization,

Reference 26

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Observation 39edf1b6-b8bf-42d9-b9ea-051270e66654 · outbound

This paper cites Communication-efficient distributed optimization in networks with gradient tracking and variance reduction,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Communication-efficient distributed optimization in networks with gradient tracking and variance reduction,

Reference 27

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Observation 932f811f-5280-4e86-b53a-37e56f7bdf3a · outbound

This paper cites Network Newton distributed optimization methods,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Network Newton distributed optimization methods,

Reference 28

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Observation 3f6c7d86-c8df-4121-9e4e-9030b48e5bc0 · outbound

This paper cites Convergence rates of sub-sampled Newton methods,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Convergence rates of sub-sampled Newton methods,

Reference 29

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Observation 662e7197-f087-4fff-8c46-de1f90f47e99 · outbound

This paper cites Accelerated distributed Nesterov gradient descent,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Accelerated distributed Nesterov gradient descent,

Reference 30

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Observation 42be0daa-0b80-43ae-beea-ad3876a78a75 · outbound

This paper cites UCI Machine Learning Repository,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm UCI Machine Learning Repository,

Reference 31

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Observation 6c1fd4f6-85b4-4596-b7ce-34ae7ed056a7 · outbound

This paper cites Distributed average consensus with least-mean-square deviation,.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Distributed average consensus with least-mean-square deviation,

Reference 32

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Observation c004ecda-7a67-4ca0-ad36-066c9bc8a157 · outbound

This paper cites Hastie, R.

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm Hastie, R

Reference 33

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