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Paper Citation Record · LEDGER

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2506.07351.

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pith.paper-citation-record.v1
2506.07351 v1

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measured 43 of 43 reference resolution

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43 of 43 outbound references displayed

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Outbound references

Observation eeb2339c-fe80-4a0e-9b19-316c3896c0e9 · outbound

This paper cites Distributed subgradient methods for multi- agent optimization,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Distributed subgradient methods for multi- agent optimization,

Reference 1

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This paper cites On the convergence of decentralized gradient descent,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking On the convergence of decentralized gradient descent,

Reference 2

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This paper cites Harnessing smoothness to accelerate distributed optimization,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Harnessing smoothness to accelerate distributed optimization,

Reference 3

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This paper cites Exact diffusion for distributed optimization and learning—part i: Algorithm development,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Exact diffusion for distributed optimization and learning—part i: Algorithm development,

Reference 4

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Observation e1af21bc-ef2c-4808-b8c2-888b3baad909 · outbound

This paper cites Decentralized proximal gradient algorithms with linear convergence rates,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Decentralized proximal gradient algorithms with linear convergence rates,

Reference 5

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Observation 1a32cb79-584e-466f-a538-254347e2cd37 · outbound

This paper cites On the linear convergence of the admm in decentralized consensus optimization,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking On the linear convergence of the admm in decentralized consensus optimization,

Reference 6

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Observation 2acbaff2-ffd6-4f39-88bf-d1b10d45b921 · outbound

This paper cites Distributed linearized alter- nating direction method of multipliers for composite convex consensus optimization,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Distributed linearized alter- nating direction method of multipliers for composite convex consensus optimization,

Reference 7

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Observation d90b1be0-a070-4b33-85ae-27eb28a6f86d · outbound

This paper cites Decentralized riemannian gradient descent on the stiefel manifold,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Decentralized riemannian gradient descent on the stiefel manifold,

Reference 8

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Observation 19d3632d-3cae-47af-99df-5bafacc789d3 · outbound

This paper cites Decentralized projected Riemannian gradient method for smooth optimization on compact submanifolds.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Decentralized projected Riemannian gradient method for smooth optimization on compact submanifolds

Reference 9

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This paper cites Decentralized riemannian conjugate gradient method on the stiefel manifold,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Decentralized riemannian conjugate gradient method on the stiefel manifold,

Reference 10

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Observation 69517a00-7ddb-440e-8ef9-77f5beaf8e71 · outbound

This paper cites Decentralized Riemannian natural gradient methods with Kronecker-product approximations.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Decentralized Riemannian natural gradient methods with Kronecker-product approximations

Reference 11

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Observation 9df5943a-a51f-4e00-bd19-b11c5eb087d6 · outbound

This paper cites Distributed Riemannian Stochastic Gradient Tracking Algorithm on the Stiefel Manifold.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Distributed Riemannian Stochastic Gradient Tracking Algorithm on the Stiefel Manifold

Reference 12

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Observation b869794f-0af7-49d0-b382-e324983fa217 · outbound

This paper cites Improving the communication in decentralized manifold optimization through single-step consensus and compression.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Improving the communication in decentralized manifold optimization through single-step consensus and compression

Reference 13

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This paper cites Retraction-Free Decentralized Non-convex Optimization with Orthogonal Constraints.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Retraction-Free Decentralized Non-convex Optimization with Orthogonal Constraints

Reference 14

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This paper cites Deepca: Decentralized exact pca with linear convergence rate,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Deepca: Decentralized exact pca with linear convergence rate,

Reference 15

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This paper cites Cloud k-svd: A collaborative dictionary learning algorithm for big, distributed data,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Cloud k-svd: A collaborative dictionary learning algorithm for big, distributed data,

Reference 16

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This paper cites On orthogonality and learning recurrent networks with long term dependencies,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking On orthogonality and learning recurrent networks with long term dependencies,

Reference 17

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This paper cites Orthogonal weight normalization: Solution to optimization over multiple dependent stiefel manifolds in deep neural networks,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Orthogonal weight normalization: Solution to optimization over multiple dependent stiefel manifolds in deep neural networks,

Reference 18

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Observation ea21bf9f-b7eb-401d-b1c0-b93d05d4e80f · outbound

This paper cites Understanding how orthogonality of pa- rameters improves quantization of neural networks,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Understanding how orthogonality of pa- rameters improves quantization of neural networks,

Reference 19

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Observation 5d450411-cd10-4cdd-8b97-27d945fed815 · outbound

This paper cites Distributed asynchronous deterministic and stochastic gradient optimization algorithms,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Distributed asynchronous deterministic and stochastic gradient optimization algorithms,

Reference 20

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Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking On distributed nonconvex optimization: Projected subgradient method for weakly convex problems in networks,

Reference 21

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This paper cites Extra: An exact first-order algorithm for decentralized consensus optimization,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Extra: An exact first-order algorithm for decentralized consensus optimization,

Reference 22

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This paper cites Next: In-network nonconvex optimiza- tion,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Next: In-network nonconvex optimiza- tion,

Reference 23

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Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking On centralized and distributed mirror descent: Convergence analysis using quadratic constraints,

Reference 24

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This paper cites On the local linear rate of consensus on the stiefel manifold,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking On the local linear rate of consensus on the stiefel manifold,

Reference 25

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This paper cites Decentralized optimization over the stiefel manifold by an approximate augmented lagrangian function,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Decentralized optimization over the stiefel manifold by an approximate augmented lagrangian function,

Reference 26

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Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Fast and accurate optimization on the orthogonal manifold without retraction,

Reference 27

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Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Design and analysis of distributed averaging with quantized communication,

Reference 28

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This paper cites An exact quantized decentralized gradient descent algorithm,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking An exact quantized decentralized gradient descent algorithm,

Reference 29

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Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Quantized decentralized stochastic learning over directed graphs,

Reference 30

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This paper cites A linearly convergent algorithm for decentralized optimization: Sending less bits for free!.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking A linearly convergent algorithm for decentralized optimization: Sending less bits for free!

Reference 31

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This paper cites Linear convergent decentralized optimization with compression,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Linear convergent decentralized optimization with compression,

Reference 32

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Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Quantized distributed gradient tracking algorithm with linear convergence in directed networks,

Reference 33

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Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Absil, R

Reference 34

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Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking The geometry of algorithms with orthogonality constraints,

Reference 35

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This paper cites A riemannian conjugate gradient method for optimization on the stiefel manifold,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking A riemannian conjugate gradient method for optimization on the stiefel manifold,

Reference 36

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This paper cites Riemannian conjugate gradient methods: General framework and specific algorithms with convergence analyses,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Riemannian conjugate gradient methods: General framework and specific algorithms with convergence analyses,

Reference 37

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This paper cites Proximal smoothness and the lower-c2 property,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Proximal smoothness and the lower-c2 property,

Reference 38

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This paper cites The gradient projection method with armijo’s step size on manifolds,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking The gradient projection method with armijo’s step size on manifolds,

Reference 39

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This paper cites First-order methods for geodesically convex optimization,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking First-order methods for geodesically convex optimization,

Reference 40

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This paper cites Equivariant adaptive source separa- tion,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Equivariant adaptive source separa- tion,

Reference 41

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This paper cites Infeasible deterministic, stochastic, and variance-reduction algorithms for optimization under or- thogonality constraints,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking Infeasible deterministic, stochastic, and variance-reduction algorithms for optimization under or- thogonality constraints,

Reference 42

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Observation 22221eb2-25bb-4e03-bea0-3bd7d07d910d · outbound

This paper cites The mnist database of handwritten digits,.

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking The mnist database of handwritten digits,

Reference 43

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