Memory-Efficient Distributed Unlearning | Paper Citation Record

Observation a03c7f06-b604-48b1-abbc-579933b7089c · outbound

This paper cites Machine learning: Trends, perspectives, and prospects,.

Memory-Efficient Distributed Unlearning Machine learning: Trends, perspectives, and prospects,

Reference 1

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This paper cites When machine learning meets privacy: A survey and outlook,.

Memory-Efficient Distributed Unlearning When machine learning meets privacy: A survey and outlook,

Reference 2

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Observation e4e6e7a6-e57b-4af6-a156-66cb488969dd · outbound

This paper cites The EU general data protection regulation (GFPR),.

Memory-Efficient Distributed Unlearning The EU general data protection regulation (GFPR),

Reference 3

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Observation 2138b00b-4fe2-4e06-876d-10d5b2cb70be · outbound

This paper cites A taxonomy and survey of attacks against machine learning,.

Memory-Efficient Distributed Unlearning A taxonomy and survey of attacks against machine learning,

Reference 4

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Observation 45a2d04c-da33-4bc0-95ae-5a38ede23152 · outbound

This paper cites Machine unlearning,.

Memory-Efficient Distributed Unlearning Machine unlearning,

Reference 5

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Observation 559d91fd-4aa0-4ff4-ae0e-d12f77b30744 · outbound

This paper cites Exploring the landscape of machine unlearning: A comprehensive survey and taxonomy,.

Memory-Efficient Distributed Unlearning Exploring the landscape of machine unlearning: A comprehensive survey and taxonomy,

Reference 6

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Observation 4d4b23a8-4230-4a98-bcd8-b84b8fa10244 · outbound

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

Memory-Efficient Distributed Unlearning Communication-efficient learning of deep networks from decentralized data,

Reference 7

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This paper cites Advances and open problems in federated learning,.

Memory-Efficient Distributed Unlearning Advances and open problems in federated learning,

Reference 8

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Observation 9256f91d-b15f-4b59-a0d3-8d0cb833a7bb · outbound

This paper cites Federated learning: A signal processing perspective,.

Memory-Efficient Distributed Unlearning Federated learning: A signal processing perspective,

Reference 9

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Observation 72bf404b-94de-4c82-af65-f6e3980e2ecd · outbound

This paper cites Federated unlearning and its privacy threats,.

Memory-Efficient Distributed Unlearning Federated unlearning and its privacy threats,

Reference 10

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Observation 4b4df907-0eea-4b24-a0f3-6c7733b375f0 · outbound

This paper cites A Survey of Machine Unlearning.

Memory-Efficient Distributed Unlearning A Survey of Machine Unlearning

Reference 11

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Observation 737a6d0a-b16f-4225-abf3-fe0184f674ca · outbound

This paper cites A survey on federated unlearning: Challenges, methods, and future directions,.

Memory-Efficient Distributed Unlearning A survey on federated unlearning: Challenges, methods, and future directions,

Reference 12

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Observation 5fb123cc-2829-4dd1-b614-b7e0c9c8f63b · outbound

This paper cites Federated unlearning: A survey on methods, design guidelines, and evalu- ation metrics,.

Memory-Efficient Distributed Unlearning Federated unlearning: A survey on methods, design guidelines, and evalu- ation metrics,

Reference 13

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Observation e04d8c69-19df-4abc-9419-20382b4fc023 · outbound

This paper cites SIFU: Sequential informed federated unlearning for efficient and provable client unlearning in federated optimization,.

Memory-Efficient Distributed Unlearning SIFU: Sequential informed federated unlearning for efficient and provable client unlearning in federated optimization,

Reference 14

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Observation 41d525fd-f452-40ca-85bd-1ad2f9d1805e · outbound

This paper cites Fast-FedUL: A training-free federated unlearning with provable skew resilience,.

Memory-Efficient Distributed Unlearning Fast-FedUL: A training-free federated unlearning with provable skew resilience,

Reference 15

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This paper cites Communication efficient and provable federated unlearning,.

Memory-Efficient Distributed Unlearning Communication efficient and provable federated unlearning,

Reference 16

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Observation b4e47485-8ece-4d9a-9a54-b8fd08206380 · outbound

This paper cites Fedrecover: Recovering from poisoning attacks in federated learning using historical information,.

Memory-Efficient Distributed Unlearning Fedrecover: Recovering from poisoning attacks in federated learning using historical information,

Reference 17

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Observation 07c3c29c-6d3c-47a9-839c-283b66525e96 · outbound

This paper cites Fedrecovery: Differentially private machine unlearning for federated learning frameworks,.

Memory-Efficient Distributed Unlearning Fedrecovery: Differentially private machine unlearning for federated learning frameworks,

Reference 18

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Observation 030e7e15-dac3-44d2-823d-ee019d2419e1 · outbound

This paper cites Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning.

Memory-Efficient Distributed Unlearning Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning

Reference 19

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Observation 64f157d0-c290-4630-af6f-668d0f28cef6 · outbound

This paper cites Client-free federated unlearning via training reconstruction with anchor subspace calibration,.

Memory-Efficient Distributed Unlearning Client-free federated unlearning via training reconstruction with anchor subspace calibration,

Reference 20

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Observation 7537b338-a29a-48f7-8dcc-89733ae9ed40 · outbound

This paper cites Federated Unlearning: a Perspective of Stability and Fairness.

Memory-Efficient Distributed Unlearning Federated Unlearning: a Perspective of Stability and Fairness

Reference 21

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Observation 36cb9153-e037-4ecf-a756-396e230aa0c2 · outbound

This paper cites Federated unlearning with momentum degradation,.

Memory-Efficient Distributed Unlearning Federated unlearning with momentum degradation,

Reference 22

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Observation 7d7426fa-d673-41bb-b827-f78453d520b6 · outbound

This paper cites Verifi: Towards verifiable federated unlearning,.

Memory-Efficient Distributed Unlearning Verifi: Towards verifiable federated unlearning,

Reference 23

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Observation 4d9333af-49e4-4835-bece-16a9518e25de · outbound

This paper cites Federated Unlearning with Knowledge Distillation.

Memory-Efficient Distributed Unlearning Federated Unlearning with Knowledge Distillation

Reference 24

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Observation 0aa258a2-e5f2-40eb-8a39-c459541afd39 · outbound

This paper cites Unlearning backdoor attacks in federated learning,.

Memory-Efficient Distributed Unlearning Unlearning backdoor attacks in federated learning,

Reference 25

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Observation 8b0e5e45-9621-4685-8523-e6934fc1ed4c · outbound

This paper cites A joint learning and communications framework for federated learning over wireless net- works,.

Memory-Efficient Distributed Unlearning A joint learning and communications framework for federated learning over wireless net- works,

Reference 26

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Observation db6212ee-4202-4c16-b286-42b33ee78676 · outbound

This paper cites Federated learning: Challenges, methods, and future directions,.

Memory-Efficient Distributed Unlearning Federated learning: Challenges, methods, and future directions,

Reference 27

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Observation 394f5496-80ee-49fc-8cdc-5af4d86acd5d · outbound

This paper cites Communication-efficient federated learning,.

Memory-Efficient Distributed Unlearning Communication-efficient federated learning,

Reference 28

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Observation 08c8de30-94ba-41a7-9005-06b0d67809e2 · outbound

This paper cites Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training.

Memory-Efficient Distributed Unlearning Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 29

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Observation dbc41469-00f0-4ee3-89de-12c5d01f307f · outbound

This paper cites Distributed deep learning on edge-devices: Feasibility via adaptive compression,.

Memory-Efficient Distributed Unlearning Distributed deep learning on edge-devices: Feasibility via adaptive compression,

Reference 30

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Observation f1845466-d62c-4db7-b691-b63317c4e7e4 · outbound

This paper cites Sparse Communication for Distributed Gradient Descent.

Memory-Efficient Distributed Unlearning Sparse Communication for Distributed Gradient Descent

Reference 31

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This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

Memory-Efficient Distributed Unlearning Federated Learning: Strategies for Improving Communication Efficiency

Reference 32

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This paper cites Sparsified SGD with memory,.

Memory-Efficient Distributed Unlearning Sparsified SGD with memory,

Reference 33

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Observation 92d5fe31-1340-4a08-812e-d0a86eb69b78 · outbound

This paper cites The convergence of sparsified gradient methods,.

Memory-Efficient Distributed Unlearning The convergence of sparsified gradient methods,

Reference 34

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This paper cites Adaptive gradient sparsification for efficient federated learning: An online learning approach,.

Memory-Efficient Distributed Unlearning Adaptive gradient sparsification for efficient federated learning: An online learning approach,

Reference 35

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Observation a7e66f3b-2713-4d25-9d09-1075274c7085 · outbound

This paper cites Terngrad: Ternary gradients to reduce communication in distributed deep learning,.

Memory-Efficient Distributed Unlearning Terngrad: Ternary gradients to reduce communication in distributed deep learning,

Reference 36

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This paper cites QSGD: Communication-efficient SGD via gradient quantization and encoding,.

Memory-Efficient Distributed Unlearning QSGD: Communication-efficient SGD via gradient quantization and encoding,

Reference 37

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Observation 5f2b5a22-97f6-4c9f-8d96-53788e53c204 · outbound

This paper cites Natural compression for distributed deep learning,.

Memory-Efficient Distributed Unlearning Natural compression for distributed deep learning,

Reference 38

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This paper cites Fedpaq: A communication-efficient federated learning method with periodic averaging and quantization,.

Memory-Efficient Distributed Unlearning Fedpaq: A communication-efficient federated learning method with periodic averaging and quantization,

Reference 39

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Observation abb67208-7b07-41a2-8664-c9b4c6cceb94 · outbound

This paper cites Stochas- tic distributed learning with gradient quantization and double-variance reduc- tion,.

Memory-Efficient Distributed Unlearning Stochas- tic distributed learning with gradient quantization and double-variance reduc- tion,

Reference 40

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Observation 76966c97-2ec2-4384-aeec-1fe1ac282fff · outbound

This paper cites Joint privacy enhancement and quantization in federated learning,.

Memory-Efficient Distributed Unlearning Joint privacy enhancement and quantization in federated learning,

Reference 41

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This paper cites Federated Learning via Lattice Joint Source-Channel Coding.

Memory-Efficient Distributed Unlearning Federated Learning via Lattice Joint Source-Channel Coding

Reference 42

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Observation c4e38de7-1bfd-43d9-a9fb-0f2019922cd3 · outbound

This paper cites CPA: Compressed private aggregation for scalable federated learning over massive networks,.

Memory-Efficient Distributed Unlearning CPA: Compressed private aggregation for scalable federated learning over massive networks,

Reference 43

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This paper cites Lecture notes on information theory,.

Memory-Efficient Distributed Unlearning Lecture notes on information theory,

Reference 44

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Observation b01b51c9-5ac1-4ac4-a2a2-6b5b201cb699 · outbound

This paper cites UVeQFed: Universal vector quantization for federated learning,.

Memory-Efficient Distributed Unlearning UVeQFed: Universal vector quantization for federated learning,

Reference 45

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Observation ab9b8164-5f4b-4dd0-bedc-b16867ce0281 · outbound

This paper cites Local SGD Converges Fast and Communicates Little.

Memory-Efficient Distributed Unlearning Local SGD Converges Fast and Communicates Little

Reference 46

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This paper cites On the Convergence of FedAvg on Non-IID Data.

Memory-Efficient Distributed Unlearning On the Convergence of FedAvg on Non-IID Data

Reference 47

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This paper cites PAUSE: Privacy- aware active user selection for federated learning,.

Memory-Efficient Distributed Unlearning PAUSE: Privacy- aware active user selection for federated learning,

Reference 48

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Observation a7af8509-b843-4461-8829-5a52deaaf3fe · outbound

This paper cites Federaser: Enabling efficient client-level data removal from federated learning models,.

Memory-Efficient Distributed Unlearning Federaser: Enabling efficient client-level data removal from federated learning models,

Reference 49

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Observation 6a44448a-44a0-40a8-8c84-be6e362ee4c7 · outbound

This paper cites Mo- bileNetV2: Inverted residuals and linear bottlenecks,.

Memory-Efficient Distributed Unlearning Mo- bileNetV2: Inverted residuals and linear bottlenecks,

Reference 50

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Observation e731e1c3-4f55-4630-a190-786eb050c712 · outbound

This paper cites Cover and J.

Memory-Efficient Distributed Unlearning Cover and J

Reference 51

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Observation 3cf122b5-28d5-4d75-ac5a-64a6ad912b98 · outbound

This paper cites Feature space saturation during training,.

Memory-Efficient Distributed Unlearning Feature space saturation during training,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:58:55.741565Z

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This paper cites Zamir, Lattice Coding for Signals and Networks: A Structured Coding Approach to Quantization, Modulation, and Multiuser Information Theory.

Memory-Efficient Distributed Unlearning Zamir, Lattice Coding for Signals and Networks: A Structured Coding Approach to Quantization, Modulation, and Multiuser Information Theory

Reference 53

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Observation 5eabe66e-41eb-4282-a016-37ecb47c3184 · outbound

This paper cites Dithered quantizers,.

Memory-Efficient Distributed Unlearning Dithered quantizers,

Reference 54

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This paper cites On lattice quantization noise,.

Memory-Efficient Distributed Unlearning On lattice quantization noise,

Reference 55

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This paper cites Decentralized stochastic optimization and gossip algorithms with compressed communication,.

Memory-Efficient Distributed Unlearning Decentralized stochastic optimization and gossip algorithms with compressed communication,

Reference 56

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Observation 87b744bb-37e5-4662-9dcc-a42f57fe168c · outbound

This paper cites Machine Unlearning: A Comprehensive Survey.

Memory-Efficient Distributed Unlearning Machine Unlearning: A Comprehensive Survey

Reference 57

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This paper cites Deltagrad: Rapid retraining of machine learning models,.

Memory-Efficient Distributed Unlearning Deltagrad: Rapid retraining of machine learning models,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:58:55.674112Z

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Observation cba44cc1-4b3d-4999-afc3-b0973857ce5e · outbound

This paper cites The error-feedback framework: SGD with delayed gradients,.

Memory-Efficient Distributed Unlearning The error-feedback framework: SGD with delayed gradients,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:58:55.659057Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e6ad70ea-1432-4f2b-94bb-ac7e153e7c3e · outbound

This paper cites Entropy-constrained vector quantization,.

Memory-Efficient Distributed Unlearning Entropy-constrained vector quantization,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T23:58:55.327298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6275028d-91cf-442f-b614-8b9a6f992474 · outbound

This paper cites Results on lattice vector quantization with dithering,.

Memory-Efficient Distributed Unlearning Results on lattice vector quantization with dithering,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:58:55.634082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 90382a27-26f7-488b-9c8b-a59792d3b0a5 · outbound

This paper cites Hardware-limited task-based quantization,.

Memory-Efficient Distributed Unlearning Hardware-limited task-based quantization,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T23:58:55.336168Z

Source-reported events for the cited work

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Observation a942426d-627f-41aa-bff6-f401e0e187f4 · outbound

This paper cites Data-driven lattices for vector quantization,.

Memory-Efficient Distributed Unlearning Data-driven lattices for vector quantization,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T23:58:55.340608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e571bcc-c729-49ee-93bc-3cd49d99f330 · outbound

This paper cites Federated learning on non-iid data silos: An experimental study,.

Memory-Efficient Distributed Unlearning Federated learning on non-iid data silos: An experimental study,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:58:55.601088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d504f87b-91c5-4b45-b447-850d2b808370 · outbound

This paper cites Attack of the tails: Yes, you really can backdoor federated learning,.

Memory-Efficient Distributed Unlearning Attack of the tails: Yes, you really can backdoor federated learning,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:58:55.586478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c1bf129e-0302-43c4-9afa-29756f99b699 · outbound

This paper cites Singh, Simple Random Sampling.

Memory-Efficient Distributed Unlearning Singh, Simple Random Sampling

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:58:55.570637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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