v0.2.7

PySyft 0.2.7 Release Notes

New functionality:

• Implement msgpack serde for RoleAssignments (#3595 by @Jasopaum)
• Create AbstractSendable class to provide comms methods generically (#3611 by @karlhigley)
• Support serialization of lists in Arg (#3617 by @vvmnnnkv and @karlhigley)
• Add FV homomorphic encryption scheme (#3276 @IamRavikantSingh)
• Proto messaging support (#3638 by @tudorcebere)
• BaseDataset proto support (#3641 by @tudorcebere & @karlhigley)
• Add iterable behavior for PointerTensor (#3659 by @gmuraru)
• Add connection speed test for workers (#3609 by @vkkhare)
• Add mean and var methods for AST (#3682 by @LaRiffle)
• Add new gradient functions to Autograd (#3681 by @LaRiffle)
• Implemented Subtraction operation of FV Scheme (#3775 by @IamRavikantSingh)
• Add a mechanism for arbitrary remote exec on Python workers (#3689 by @LaRiffle)
• Add Multiplication operation of FV scheme. (#3711 by @IamRavikantSingh)

Bug fixes

• Fix federated_avg side effect (#3614 @joaolcaas)
• serde, torch: fix typo in numpy tensor serializer. (#3644 by @shubham3121)
• Fixed precision tensor support (#3650 by @tudorcebere & @karlhigley)
• Fix: Copy issue with ciphertext in FV scheme. (#3672 by @IamRavikantSingh)
• Fix dtype issues in AST (#3679 by @LaRiffle)
• Fix decorator issues for FSS in AST (#3680 by @LaRiffle)
• Fix bug in set_model_params() in Create Plan (#3781 @sachin-101)
• Fix grid model hosting for large models (#3719 by @IonesioJunior)
• Fix Plan trace for inplace ops, add Role actions pruning (#3798 by @vvmnnnkv and @LaRiffle)
• Fix issues in handle_func_command for syft tensors (#3807 by @LaRiffle)

Refactoring:

• Use serde for tags serialization in PointerTensor (#3566 by @gmuraru)
• Move torch arg hooking into the relevant classes to reduce circular imports (#3612 by @karlhigley)
• Remove protocol parameter in decrypt (#3599 by @youben11)
• Add utilities for hooking and chaining methods calls along tensor chain (#3636 by @karlhigley)
• Add an __init__.py file to syft.generic.abstract (#3642 by @karlhigley)
• Move permissions from TorchTensor.send() to PrivateTensor._before_send hook (#3643 by @karlhigley)
• Remove owner attribute from FrameworkWrapper (#3652 by @Jasopaum)
• Move tests for generic functionality out of test/torch/tensors dir (#3645 by @karlhigley)
• Clean up AbstractSendable to remove extraneous methods (#3660 by @karlhigley)
• Improve @hookable decorator to allow modifying return values after (#3655 by @karlhigley)
• Adding support in msgpack for external libs. (#3653 by @tudorcebere)
• Extract MessageHandler classes from BaseWorker (#3661 by @karlhigley)
• Change whitelist to allow_list (#3675 by @karlhigley)
• Update Operations: For non same size polynomials (#3684 @IamRavikantSingh )
• Removed wrap() on non-tensor pointers in respond_to_search() (#3685 by @AlanAboudib)
• feat: add plan translation to tfjs (#3371 @Nolski)
• Update hook_args list (#3677 by @LaRiffle)
• Customizable timeout in workers (#3760 by @youben11)
• Serialize Plan's roles and base_framework fields (#3801 by @vvmnnnkv and @gmuraru)
• Grid module architecture refactoring (#3818 by @hericlesme)

Docs & tutorials:

• Update CODEOWNERS file to reflect new team names (#3620 by @karlhigley)
• Update Part 11 - Secure Deep Learning Classification.ipynb (#3444 by @znreza)
• Simplify encrypted aggregation in the tutorials (#3666 by @bobsonlin26 )

Tests & CI

• Delete pull_request_template.md by @cereallarceny
• Register the translation mark with PyTest to suppress warnings (#3618 by @karlhigley)
• Update requirements.txt with tornado compatible notebook version (#3606 by @rajathpatel23)
• Update the label used to mark stale issues/PRs (#3630 by @karlhigley)
• Added functionality to create a cluster using autoscale API (#3637 @rimijoker)