Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks | Paper Citation Record

Observation 3f9b222b-3559-403b-9c01-aec6decbe7a8 · outbound

This paper cites and Gavra, I.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks and Gavra, I

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.956119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 852adbf4-007b-4701-9c5b-bef5d489a50c · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks LEAF: A Benchmark for Federated Settings

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.188001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f75f23bd-4dd0-4cf5-a718-f30a087c0b34 · outbound

This paper cites J., Jhunjhunwala, D., Li, T., Smith, V., and Joshi, G.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks J., Jhunjhunwala, D., Li, T., Smith, V., and Joshi, G

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.941844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2102ea9d-f88b-4731-83f8-b3da021d263c · outbound

This paper cites an unresolved cited work.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-08T21:19:40.927263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5c70830f-4364-4934-bf37-97ab9d8bb2bb · outbound

This paper cites B., Ramage, D., and Xu, Z.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks B., Ramage, D., and Xu, Z

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.912422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f722af24-a086-4466-868e-9418f81057bd · outbound

This paper cites and Kleinberg, J.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks and Kleinberg, J

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.896088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d43f50d8-8e05-4c67-be5d-e6d4980a9351 · outbound

This paper cites Confidential Federated Computations.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Confidential Federated Computations

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.212631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0568f4cd-ce1c-47c8-8bc8-743bf6ad2898 · outbound

This paper cites P., Liu, C., and Zhang, Y.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks P., Liu, C., and Zhang, Y

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.881695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9554637f-280f-4f4a-a471-15744d334ba8 · outbound

This paper cites and Zou, J.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks and Zou, J

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.866756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 759c8ab8-fca0-4cbd-9dec-1cd03c1259c7 · outbound

This paper cites Profit sharing and efficiency in utility games.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Profit sharing and efficiency in utility games

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.851976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8bdba743-2adb-44d3-ad44-cfa1b3486079 · outbound

This paper cites Simulated annealing: A proof of convergence.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Simulated annealing: A proof of convergence

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.836236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ccb0139f-b96f-4ff9-88a7-8b566bd4d672 · outbound

This paper cites Deep residual learning for image recognition.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Deep residual learning for image recognition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.235808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee81183f-8e6a-4374-b564-3f5f83130a14 · outbound

This paper cites Hyperparameter transfer learning with adaptive complexity.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Hyperparameter transfer learning with adaptive complexity

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.811490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bacdeb6a-4ef9-406f-bb2d-6289a92c8531 · outbound

This paper cites Fjord: Fair and accurate federated learning under heterogeneous targets with ordered dropout.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Fjord: Fair and accurate federated learning under heterogeneous targets with ordered dropout

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.797265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a6caecd1-51d3-4de4-ac5b-3637adbc0d13 · outbound

This paper cites Maestro: Uncovering Low-Rank Structures via Trainable Decomposition.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Maestro: Uncovering Low-Rank Structures via Trainable Decomposition

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.248766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88750eef-f495-4f33-ade1-a2b7ad81f38c · outbound

This paper cites Papaya: Practical, private, and scalable federated learning.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Papaya: Practical, private, and scalable federated learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.782998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a6163cb3-0192-45b9-b13d-3d284a37cbeb · outbound

This paper cites A., Hynes, N., G \"u rel, N.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks A., Hynes, N., G \"u rel, N

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.258111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c103009-9eeb-4f15-ab2e-089761fd13a2 · outbound

This paper cites Fair Federated Medical Image Segmentation via Client Contribution Estimation.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Fair Federated Medical Image Segmentation via Client Contribution Estimation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.262525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c07e1506-97be-45b9-a7ce-9561b10a824d · outbound

This paper cites an unresolved cited work.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Unresolved cited work

Reference 19

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T21:19:40.279859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 645568c6-8fed-4ce7-95c1-b35120316177 · outbound

This paper cites Tighter theory for local sgd on identical and heterogeneous data.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Tighter theory for local sgd on identical and heterogeneous data

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.271906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fbaff5f-bbf5-4530-9bf4-94c6577975ac · outbound

This paper cites Learning multiple layers of features from tiny images.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Learning multiple layers of features from tiny images

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.749413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0e49bc73-16da-46c1-a23a-4712f68c2ea4 · outbound

This paper cites Matryoshka representation learning.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Matryoshka representation learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.735522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 181b5da4-93a5-4625-a863-3e22970ec1b5 · outbound

This paper cites The mnist database of handwritten digits.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks The mnist database of handwritten digits

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.721394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f6b1f9a7-ebc7-476c-a824-cf0483f957ee · outbound

This paper cites K., Zaheer, M., Sanjabi, M., Talwalkar, A., and Smith, V.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks K., Zaheer, M., Sanjabi, M., Talwalkar, A., and Smith, V

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.706673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 88129511-dcce-43b5-827f-7873e1039a0d · outbound

This paper cites Ditto: Fair and robust federated learning through personalization.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Ditto: Fair and robust federated learning through personalization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.691088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f189c1ca-2b7c-4f34-a698-c9c2443b6aa4 · outbound

This paper cites an unresolved cited work.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-08T21:19:40.676251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 05fcf452-f331-4f4e-a144-73d89a34aa55 · outbound

This paper cites A contract theory based incentive mechanism for federated learning.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks A contract theory based incentive mechanism for federated learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.661952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9aa7c9db-e8cb-4565-a16f-cf03c0244af5 · outbound

This paper cites Gtg-shapley: Efficient and accurate participant contribution evaluation in federated learning.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Gtg-shapley: Efficient and accurate participant contribution evaluation in federated learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.647440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 470a3723-bf2a-4790-b6ca-9bf6a5e496f4 · outbound

This paper cites Collaborative fairness in federated learning.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Collaborative fairness in federated learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.632264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 78e05893-06b4-4c8c-a72b-47cea1222054 · outbound

This paper cites an unresolved cited work.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.315687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d825278-4495-4487-8b61-8113316384e7 · outbound

This paper cites Resource-adaptive federated learning with all-in-one neural composition.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Resource-adaptive federated learning with all-in-one neural composition

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.608343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3aef59b6-4514-458d-9a44-27af3f55d1d7 · outbound

This paper cites Masked training of neural networks with partial gradients.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Masked training of neural networks with partial gradients

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.593190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f4f4ffad-03ee-4fa4-aa93-3e817650fd47 · outbound

This paper cites Y., et al.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Y., et al

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.579035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2fdc4127-e84e-4798-8e38-7e250af7268b · outbound

This paper cites Estimation of Individual Device Contributions for Incentivizing Federated Learning.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Estimation of Individual Device Contributions for Incentivizing Federated Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.333055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5028203c-3888-4bfd-a78a-b3c977b26697 · outbound

This paper cites Learning ordered representations with nested dropout.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Learning ordered representations with nested dropout

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.337760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbd6364b-8e8b-4f76-bb96-9ace0ed33e98 · outbound

This paper cites an unresolved cited work.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.342429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a1cdb84-c7fb-4f08-a55d-2b294d96c37e · outbound

This paper cites Towards fairness-aware federated learning.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Towards fairness-aware federated learning

Reference 37

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T21:19:40.046992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9cfe3fbe-f1e5-4797-84a4-fba99effed54 · outbound

This paper cites Fedfaim: A model performance-based fair incentive mechanism for federated learning.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Fedfaim: A model performance-based fair incentive mechanism for federated learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.546401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 851c4fba-c4e7-4100-a6c9-aef5d88768d0 · outbound

This paper cites FedCCEA : A Practical Approach of Client Contribution Evaluation for Federated Learning.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks FedCCEA : A Practical Approach of Client Contribution Evaluation for Federated Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.356599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 571f275a-cb26-4e90-8563-4a2591f798c8 · outbound

This paper cites D., Ng, A.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks D., Ng, A

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.361343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24f1d104-4946-483c-8b97-0eedb456d05d · outbound

This paper cites Local SGD Converges Fast and Communicates Little.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Local SGD Converges Fast and Communicates Little

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.365877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d6021fa-2903-480d-863e-7ddb15a6cdf3 · outbound

This paper cites Redefining contributions: Shapley-driven federated learning.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Redefining contributions: Shapley-driven federated learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.522629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fc783182-f76f-418b-9350-75a069c15974 · outbound

This paper cites CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning , 2025 a.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning , 2025 a

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-08-08T21:19:39.806890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5a8386e7-431a-487c-9c04-f8c2de4f18df · outbound

This paper cites FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.509246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1c1725ea-c7d1-49a8-982d-34e649b46657 · outbound

This paper cites Progfed: Effective, communication, and computation efficient federated learning by progressive training.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Progfed: Effective, communication, and computation efficient federated learning by progressive training

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.495397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e8e1d36c-bb5c-40dc-b95a-f679606b5f6b · outbound

This paper cites A Field Guide to Federated Optimization.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks A Field Guide to Federated Optimization

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.388401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae8ac5ff-8f89-4053-848d-d419bc0dd270 · outbound

This paper cites A principled approach to data valuation for federated learning.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks A principled approach to data valuation for federated learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.481409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fcd40d01-a54e-419c-a29d-6c05a05a1249 · outbound

This paper cites K., Stich, S., Dai, Z., Bullins, B., Mcmahan, B., Shamir, O., and Srebro, N.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks K., Stich, S., Dai, Z., Bullins, B., Mcmahan, B., Shamir, O., and Srebro, N

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.467555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 54434e8f-4e68-4858-b668-2787ec891d9b · outbound

This paper cites M., Raskar, R., and Low, B.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks M., Raskar, R., and Low, B

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.453034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 490f614c-f8fb-4ecb-9752-6b09a1179077 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.405875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bdac17f-56d1-401d-bb6d-3fc886371417 · outbound

This paper cites A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.410483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b5afc94-6639-43e9-a902-ea50e7c168a5 · outbound

This paper cites S., and Low, B.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks S., and Low, B

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.438259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ee330454-e95d-4915-af28-b25003878afb · outbound

This paper cites Asynchronous federated learning with incentive mechanism based on contract theory.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Asynchronous federated learning with incentive mechanism based on contract theory

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.421761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4cbdd20c-c0d9-49da-9a4a-ec3d4fa02921 · outbound

This paper cites AutoSlim: Towards One-Shot Architecture Search for Channel Numbers.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks AutoSlim: Towards One-Shot Architecture Search for Channel Numbers

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.423754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 667204de-e3e2-47e7-8c19-eff8800caf83 · outbound

This paper cites and Huang, T.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks and Huang, T

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.407316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 599b8833-fb7a-40da-af6a-08fab25f4bdf · outbound

This paper cites Slimmable neural networks.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Slimmable neural networks

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.393121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 398c8e53-18d3-41c9-ba0f-3033315c3b50 · outbound

This paper cites A learning-based incentive mechanism for federated learning.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks A learning-based incentive mechanism for federated learning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.377100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa797e2c-b888-464e-8a60-6770a61949c6 · outbound

This paper cites Hierarchically Fair Federated Learning.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Hierarchically Fair Federated Learning

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-08T21:19:39.510112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0f05869d-715c-4e42-8951-0a419eb78eb1 · outbound

This paper cites Incentive mechanism for horizontal federated learning based on reputation and reverse auction.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Incentive mechanism for horizontal federated learning based on reputation and reverse auction

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:19:40.361518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 647b1028-8c31-4908-a749-f870b9b95787 · outbound

This paper cites Federated learning on non-iid data: A survey.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Federated learning on non-iid data: A survey

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.451547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f79521b1-2f37-4dd2-bf69-81d9fc687a2a · outbound

This paper cites write newline.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks write newline

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T21:19:39.456022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers