Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling | Paper Citation Record

Observation c765bfe9-386a-4220-a10f-2e87a4258eac · outbound

This paper cites Neural multi-task learning in drug design.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Neural multi-task learning in drug design

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:48.570588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8cc88b3f-df73-455a-9369-8d5132c6a974 · outbound

This paper cites Advancing covid-19 diagnosis with privacy-preserving collaboration in artificial intelligence.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Advancing covid-19 diagnosis with privacy-preserving collaboration in artificial intelligence

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:48.378858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8f1a3539-b521-4898-9dc5-0e2005c67891 · outbound

This paper cites Federated disentangled representation learning for unsupervised brain anomaly detection.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Federated disentangled representation learning for unsupervised brain anomaly detection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:48.141414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1e92e8df-34c0-4a00-8214-26b14abe1dfe · outbound

This paper cites Many-task federated learning: A new problem setting and a simple baseline.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Many-task federated learning: A new problem setting and a simple baseline

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:47.812447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 315cfdd9-4b3b-48b7-bc15-d896f0ab082a · outbound

This paper cites Multitask learning.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Multitask learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:37:33.436129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 455f7ac3-04e6-470d-839f-831ff5bfca33 · outbound

This paper cites Fraug: Tackling federated learning with non-iid features via representation augmentation.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Fraug: Tackling federated learning with non-iid features via representation augmentation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:47.491663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 07785fd8-a908-4724-ab18-37cc69900a8d · outbound

This paper cites Multi-task learning in natural language processing: An overview.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Multi-task learning in natural language processing: An overview

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:47.123938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e94c4768-34cd-420f-9cd8-b748e4ffe8a5 · outbound

This paper cites Adamv-moe: Adaptive multi-task vision mixture-of-experts.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Adamv-moe: Adaptive multi-task vision mixture-of-experts

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:46.791804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 49ca02b5-ee12-4229-ad9e-ff8d8a903132 · outbound

This paper cites Fed- bone: Towards large-scale federated multi-task learning.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Fed- bone: Towards large-scale federated multi-task learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:46.519342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation be7b48e0-e151-4592-9bd4-184491f5c307 · outbound

This paper cites Fair federated learning under domain skew with local consistency and domain diversity.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Fair federated learning under domain skew with local consistency and domain diversity

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:46.129573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56271eb2-3158-4d91-961b-22909c324b19 · outbound

This paper cites Federated learning for predicting clinical outcomes in patients with covid-19.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Federated learning for predicting clinical outcomes in patients with covid-19

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:45.789516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2666eea7-0eac-4e0a-a865-647b92146dd1 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Imagenet: A large-scale hierarchical image database

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:37:34.017203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4521f5b4-7630-4b4b-b96b-2c68d9671f90 · outbound

This paper cites Multi-task self-supervised visual learning.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Multi-task self-supervised visual learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:45.404274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4ea9c416-cb1c-421e-a9ed-547b56584054 · outbound

This paper cites Federated learning based on dynamic regularization.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Federated learning based on dynamic regularization

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:45.156826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 28bbc9e7-a72b-4485-84ff-6bfe4525c479 · outbound

This paper cites Spreadgnn: Decentralized multi-task federated learning for graph neural networks on molecular data.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Spreadgnn: Decentralized multi-task federated learning for graph neural networks on molecular data

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:45.049730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 094257e4-22a3-4e9d-b271-8d5e1febee6d · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Delving deep into rectifiers: Surpassing human-level performance on imagenet classification

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:44.830560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 77d389cf-2303-4b5f-abc6-ab1ccc0b0a76 · outbound

This paper cites Deep residual learning for image recognition.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Deep residual learning for image recognition

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:37:34.501388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbaa5707-abc6-4b31-8a92-ac7863e4f465 · outbound

This paper cites Rethinking federated learning with domain shift: A prototype view.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Rethinking federated learning with domain shift: A prototype view

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:44.650188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5da8b4a7-f84b-4ae3-9abc-ece669e2f1e3 · outbound

This paper cites Federated learning for generalization, robustness, fairness: A survey and benchmark.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Federated learning for generalization, robustness, fairness: A survey and benchmark

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:44.512858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6231a771-3072-4d6c-80bd-cffa3e648b71 · outbound

This paper cites Personalized cross-silo federated learning on non-iid data.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Personalized cross-silo federated learning on non-iid data

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:44.351045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fdf12747-4a6c-414b-a7b1-e16dd673d04c · outbound

This paper cites Personalized cross-silo federated learning on non-iid data.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Personalized cross-silo federated learning on non-iid data

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:44.175389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c586c0f5-0c7c-44eb-af1e-faa0e7abe5d7 · outbound

This paper cites Editing models with task arithmetic.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Editing models with task arithmetic

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:43.990174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ebe500c0-b31e-4ac8-8131-90be2a62b6b5 · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learning.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Scaffold: Stochastic controlled averaging for federated learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:43.847503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cf85ad11-3245-4077-bf0f-193958de1de5 · outbound

This paper cites Communication-efficient federated learning with accelerated client gradient.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Communication-efficient federated learning with accelerated client gradient

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:43.693186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a164bc5e-0c3e-4cb6-9a89-dd3ec24987f4 · outbound

This paper cites Ubernet: Training a universal convolutional neural network for low-, mid-, and high-level vision using diverse datasets and limited memory.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Ubernet: Training a universal convolutional neural network for low-, mid-, and high-level vision using diverse datasets and limited memory

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:43.495247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d847766a-9c3f-477b-b65a-2ea9b4dfd73d · outbound

This paper cites Model-contrastive federated learning.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Model-contrastive federated learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:43.280506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f985315c-cb3e-47ff-9e0c-d02680306872 · outbound

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

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Ditto: Fair and robust federated learning through personalization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:43.101865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fabe2810-336f-4d7e-ae28-e548f5a3b773 · outbound

This paper cites Federated optimization in heterogeneous networks.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Federated optimization in heterogeneous networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:42.908994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ac51344d-c407-4d70-a847-af25c134170b · outbound

This paper cites Fedbn: Federated learning on non-iid features via local batch normalization.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Fedbn: Federated learning on non-iid features via local batch normalization

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:42.741750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f227aa21-c395-4468-9d87-be48bb710e0d · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Swin transformer: Hierarchical vision transformer using shifted windows

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:37:35.677800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c69849e4-415c-4840-90b7-4568e77929f6 · outbound

This paper cites Fully convolutional networks for semantic segmenta- tion.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Fully convolutional networks for semantic segmenta- tion

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:42.511693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4d686996-ba30-48e5-9645-35888ef8547f · outbound

This paper cites Fedhca2: Towards hetero-client federated multi-task learning.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Fedhca2: Towards hetero-client federated multi-task learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:42.242859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b59838a-a6ca-4a82-89c6-ea34d6322733 · outbound

This paper cites Attentive single-tasking of multiple tasks.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Attentive single-tasking of multiple tasks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:42.050208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8876b941-fe31-4d9b-b5c2-9691816a8155 · outbound

This paper cites Federated multi-task learning under a mixture of distributions.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Federated multi-task learning under a mixture of distributions

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:41.849433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6fd3d06b-fff1-40b5-9409-f4ad6b997785 · outbound

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

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Communication-efficient learning of deep networks from decentralized data

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:41.637436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 492e1cc1-e079-4d0c-ab85-4ddda091ca12 · outbound

This paper cites Fedseg: Class-heterogeneous federated learning for semantic segmentation.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Fedseg: Class-heterogeneous federated learning for semantic segmentation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:41.445093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 232cb117-ff20-46aa-bd23-5b1933e1b501 · outbound

This paper cites Multi-task federated learning for personalised deep neural networks in edge computing.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Multi-task federated learning for personalised deep neural networks in edge computing

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:41.296996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 19c18a9b-f9ca-418c-a3a6-a927054308a7 · outbound

This paper cites The role of context for object detection and semantic segmentation in the wild.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling The role of context for object detection and semantic segmentation in the wild

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:41.162012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c10b944f-3696-4743-a666-291a530da28e · outbound

This paper cites Federated split task- agnostic vision transformer for covid-19 cxr diagnosis.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Federated split task- agnostic vision transformer for covid-19 cxr diagnosis

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:41.000694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation abd5a816-26d9-44b1-96a7-b696e4e6a1ff · outbound

This paper cites Rethinking architecture design for tackling data heterogeneity in federated learning.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Rethinking architecture design for tackling data heterogeneity in federated learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:40.821807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 34714667-0794-4dac-b4bc-1a2986010416 · outbound

This paper cites Adaptive federated optimization.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Adaptive federated optimization

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:40.617315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1ad6a3b2-6b21-4cf9-81c8-5454077e55f3 · outbound

This paper cites Indoor segmentation and support inference from rgbd images.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Indoor segmentation and support inference from rgbd images

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:40.464212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 418fdddc-35ef-41ef-ab19-8959fc4d2ca3 · outbound

This paper cites Federated multi-task learning.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Federated multi-task learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:40.274367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 19fbaded-65d7-4192-8bb5-dcda8d2bf681 · outbound

This paper cites Mti-net: Multi-scale task interaction networks for multi-task learning.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Mti-net: Multi-scale task interaction networks for multi-task learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:40.093972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5b05e6e3-3db4-4349-b955-92de84e028e4 · outbound

This paper cites Tackling the objective incon- sistency problem in heterogeneous federated optimization.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Tackling the objective incon- sistency problem in heterogeneous federated optimization

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:39.926820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 26929e0b-c0a4-426d-b429-0051b9e0a151 · outbound

This paper cites Pad-net: Multi-tasks guided prediction-and- distillation network for simultaneous depth estimation and scene parsing.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Pad-net: Multi-tasks guided prediction-and- distillation network for simultaneous depth estimation and scene parsing

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:39.673024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3b73e80e-ee70-4638-bcbc-a11bb7ea90c0 · outbound

This paper cites Federated machine learning: Concept and applications.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Federated machine learning: Concept and applications

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T12:37:37.233993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 857d2e8c-8df9-400d-9085-dfbe2f1c518f · outbound

This paper cites Heterogeneous federated learning: State-of-the-art and research challenges.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Heterogeneous federated learning: State-of-the-art and research challenges

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:39.422858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bd135dfc-d58f-481e-9d56-9025d40fe5e7 · outbound

This paper cites Unleashing the power of multi-task learning: A comprehensive survey spanning traditional, deep, and pretrained foundation model eras.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Unleashing the power of multi-task learning: A comprehensive survey spanning traditional, deep, and pretrained foundation model eras

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:39.252292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 125981ef-bec2-4ec9-b34c-5c2756be6092 · outbound

This paper cites Gradient surgery for multi-task learning.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Gradient surgery for multi-task learning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:39.008504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 71d51339-5453-4e41-b4d2-0b37523011a8 · outbound

This paper cites Achievement-based training progress balancing for multi-task learning.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Achievement-based training progress balancing for multi-task learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:38.847787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 76379342-187f-4a00-b285-77918831aef9 · outbound

This paper cites Federated learning for non-iid data via unified feature learning and optimization objective alignment.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Federated learning for non-iid data via unified feature learning and optimization objective alignment

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:38.630949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 67847e3f-7fec-4937-894c-a3d84fc780be · outbound

This paper cites Federated domain generalization with generalization adjustment.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling Federated domain generalization with generalization adjustment

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:38.454990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b2d467f6-a688-4ccd-a170-a06638b6ea39 · outbound

This paper cites A survey on multi-task learning.

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling A survey on multi-task learning

Reference 55

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:37:38.226890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers